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Advances in Neural Networks – ISNN 2007

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Cover of 'Advances in Neural Networks – ISNN 2007'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Direct Adaptive Fuzzy-Neural Control for MIMO Nonlinear Systems Via Backstepping
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    Chapter 2 An Improved Fuzzy Neural Network for Ultrasonic Motors Control
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    Chapter 3 Adaptive Neuro-Fuzzy Inference System Based Autonomous Flight Control of Unmanned Air Vehicles
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    Chapter 4 A Novel Cross Layer Power Control Game Algorithm Based on Neural Fuzzy Connection Admission Controller in Cellular Ad Hoc Networks
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    Chapter 5 A Model Predictive Control of a Grain Dryer with Four Stages Based on Recurrent Fuzzy Neural Network
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    Chapter 6 Adaptive Nonlinear Control Using TSK-Type Recurrent Fuzzy Neural Network System
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    Chapter 7 GA-Based Adaptive Fuzzy-Neural Control for a Class of MIMO Systems
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    Chapter 8 Filtered-X Adaptive Neuro-Fuzzy Inference Systems for Nonlinear Active Noise Control
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    Chapter 9 Neural Network Based Multiple Model Adaptive Predictive Control for Teleoperation System
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    Chapter 10 Neural-Memory Based Control of Micro Air Vehicles (MAVs) with Flapping Wings
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    Chapter 11 Robust Neural Networks Control for Uncertain Systems with Time-Varying Delays and Sector Bounded Perturbations
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    Chapter 12 Switching Set-Point Control of Nonlinear System Based on RBF Neural Network
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    Chapter 13 Adaptive Tracking Control for the Output PDFs Based on Dynamic Neural Networks
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    Chapter 14 Adaptive Global Integral Neuro-sliding Mode Control for a Class of Nonlinear System
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    Chapter 15 Backstepping Control of Uncertain Time Delay Systems Based on Neural Network
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    Chapter 16 Neural Network in Stable Adaptive Control Law for Automotive Engines
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    Chapter 17 Neuro-fuzzy Adaptive Control of Nonlinear Singularly Perturbed Systems and Its Application to a Spacecraft
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    Chapter 18 Self-tuning PID Temperature Controller Based on Flexible Neural Network
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    Chapter 19 Hybrid Neural Network Controller Using Adaptation Algorithm
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    Chapter 20 Adaptive Output-Feedback Stochastic Nonlinear Stabilization Using Neural Network
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    Chapter 21 Adaptive Control for a Class of Nonlinear Time-Delay Systems Using RBF Neural Networks
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    Chapter 22 A Nonlinear ANC System with a SPSA-Based Recurrent Fuzzy Neural Network Controller
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    Chapter 23 Neural Control Applied to Time Varying Uncertain Nonlinear Systems
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    Chapter 24 Constrained Control of a Class of Uncertain Nonlinear MIMO Systems Using Neural Networks
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    Chapter 25 Sliding Mode Control for Missile Electro-hydraulic Servo System Using Recurrent Fuzzy Neural Network
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    Chapter 26 Modeling and Control of Molten Carbonate Fuel Cells Based on Feedback Neural Networks
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    Chapter 27 An Improved Approach of Adaptive Control for Time-Delay Systems Based on Observer
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    Chapter 28 Vibration Control of Block Forming Machine Based on an Artificial Neural Network
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    Chapter 29 Global Asymptotical Stability of Internet Congestion Control
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    Chapter 30 Dynamics of Window-Based Network Congestion Control System
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    Chapter 31 Realization of Neural Network Inverse System with PLC in Variable Frequency Speed-Regulating System
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    Chapter 32 Neural-Network-Based Switching Control for DC Motors System with LFR
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    Chapter 33 Adaptive Robust Motion Controller with Friction and Ripple Disturbance Compensation Via RBF Networks
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    Chapter 34 Robust Adaptive Neural Network Control for a Class of Nonlinear Systems with Uncertainties
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    Chapter 35 On Neural Network Switched Stabilization of SISO Switched Nonlinear Systems with Actuator Saturation
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    Chapter 36 Reheat Steam Temperature Composite Control System Based on CMAC Neural Network and Immune PID Controller
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    Chapter 37 Adaptive Control Using a Grey Box Neural Model: An Experimental Application
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    Chapter 38 H  ∞  Tracking Control of Descriptor Nonlinear System for Output PDFs of Stochastic Systems Based on B-Spline Neural Networks
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    Chapter 39 Advances in Neural Networks – ISNN 2007
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    Chapter 40 A Neural Network Model Based MPC of Engine AFR with Single-Dimensional Optimization
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    Chapter 41 Approximate Dynamic Programming for Ship Course Control
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    Chapter 42 Traffic Signal Timing with Neural Dynamic Optimization
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    Chapter 43 Multiple Approximate Dynamic Programming Controllers for Congestion Control
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    Chapter 44 Application of ADP to Intersection Signal Control
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    Chapter 45 The Application of Adaptive Critic Design in the Nosiheptide Fermentation
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    Chapter 46 On-Line Learning Control for Discrete Nonlinear Systems Via an Improved ADDHP Method
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    Chapter 47 Reinforcement Learning Reward Functions for Unsupervised Learning
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    Chapter 48 A Hierarchical Learning System Incorporating with Supervised, Unsupervised and Reinforcement Learning
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    Chapter 49 A Hierarchical Self-organizing Associative Memory for Machine Learning
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    Chapter 50 Enclosing Machine Learning for Class Description
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    Chapter 51 An Extremely Simple Reinforcement Learning Rule for Neural Networks
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    Chapter 52 Online Dynamic Value System for Machine Learning
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    Chapter 53 Extensions of Manifold Learning Algorithms in Kernel Feature Space
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    Chapter 54 A Kernel-Based Reinforcement Learning Approach to Dynamic Behavior Modeling of Intrusion Detection
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    Chapter 55 Long-Term Electricity Demand Forecasting Using Relevance Vector Learning Mechanism
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    Chapter 56 An IP and GEP Based Dynamic Decision Model for Stock Market Forecasting
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    Chapter 57 Application of Neural Network on Rolling Force Self-learning for Tandem Cold Rolling Mills
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    Chapter 58 Recurrent Fuzzy CMAC for Nonlinear System Modeling
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    Chapter 59 A Fast Fuzzy Neural Modelling Method for Nonlinear Dynamic Systems
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    Chapter 60 On-Line T-S Fuzzy Model Identification with Growing and Pruning Rules
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    Chapter 61 Improvement Techniques for the EM-Based Neural Network Approach in RF Components Modeling
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    Chapter 62 A Novel Associative Memory System Based Modeling and Prediction of TCP Network Traffic
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    Chapter 63 A Hybrid Knowledge-Based Neural-Fuzzy Network Model with Application to Alloy Property Prediction
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    Chapter 64 A Novel Multiple Improved PID Neural Network Ensemble Model for pH Value in Wet FGD
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    Chapter 65 Acoustic Modeling Using Continuous Density Hidden Markov Models in the Mercer Kernel Feature Space
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    Chapter 66 TS-Neural-Network-Based Maintenance Decision Model for Diesel Engine
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    Chapter 67 Delay Modelling at Unsignalized Highway Nodes with Radial Basis Function Neural Networks
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    Chapter 68 Spectral Correspondence Using the TPS Deformation Model
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    Chapter 69 Dynamic Behavioral Models for Wideband Wireless Transmitters Stimulated by Complex Signals Using Neural Networks
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    Chapter 70 An Occupancy Grids Building Method with Sonar Sensors Based on Improved Neural Network Model
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    Chapter 71 Adaptive Network-Based Fuzzy Inference Model of Plasma Enhanced Chemical Vapor Deposition Process
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    Chapter 72 Hybrid Intelligent Modeling Approach for the Ball Mill Grinding Process
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    Chapter 73 Nonlinear Systems Modeling Using LS-SVM with SMO-Based Pruning Methods
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    Chapter 74 Pattern-Oriented Agent-Based Modeling for Financial Market Simulation
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    Chapter 75 Non-flat Function Estimation Using Orthogonal Least Squares Regression with Multi-scale Wavelet Kernel
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    Chapter 76 Tension Identification of Multi-motor Synchronous System Based on Artificial Neural Network
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    Chapter 77 Operon Prediction Using Neural Network Based on Multiple Information of Log-Likelihoods
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    Chapter 78 RST-Based RBF Neural Network Modeling for Nonlinear System
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    Chapter 79 A New Method for Accelerometer Dynamic Compensation Based on CMAC
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    Chapter 80 Modelling of Dynamic Systems Using Generalized RBF Neural Networks Based on Kalman Filter Mehtod
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    Chapter 81 Recognition of ECoG in BCI Systems Based on a Chaotic Neural Model
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    Chapter 82 Plan on Obstacle-Avoiding Path for Mobile Robots Based on Artificial Immune Algorithm
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    Chapter 83 Obstacle Avoidance Path Planning for Mobile Robot Based on Ant-Q Reinforcement Learning Algorithm
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    Chapter 84 Monocular Vision Based Obstacle Detection for Robot Navigation in Unstructured Environment
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    Chapter 85 Attention Selection with Self-supervised Competition Neural Network and Its Applications in Robot
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    Chapter 86 Kinematic Analysis, Obstacle Avoidance and Self-localization for a Mobile Robot
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    Chapter 87 Mobile Robot Self-localization Based on Feature Extraction of Laser Scanner Using Self-organizing Feature Mapping
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    Chapter 88 Generalized Dynamic Fuzzy Neural Network-Based Tracking Control of Robot Manipulators
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    Chapter 89 A 3-PRS Parallel Manipulator Control Based on Neural Network
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    Chapter 90 Neural Network Based Kinematic Control of the Hyper-Redundant Snake-Like Manipulator
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    Chapter 91 Neural Network Based Algorithm for Multi-Constrained Shortest Path Problem
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    Chapter 92 Neuro-Adaptive Formation Control of Multi-Mobile Vehicles: Virtual Leader Based Path Planning and Tracking
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    Chapter 93 A Multi-stage Competitive Neural Networks Approach for Motion Trajectory Pattern Learning
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    Chapter 94 Neural Network-Based Robust Tracking Control for Nonholonomic Mobile Robot
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    Chapter 95 Enhance Computational Efficiency of Neural Network Predictive Control Using PSO with Controllable Random Exploration Velocity
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    Chapter 96 Ultrasonic Sensor Based Fuzzy-Neural Control Algorithm of Obstacle Avoidance for Mobile Robot
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    Chapter 97 Appearance-Based Map Learning for Mobile Robot by Using Generalized Regression Neural Network
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    Chapter 98 Design of Quadruped Robot Based Neural Network
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    Chapter 99 A Rough Set and Fuzzy Neural Petri Net Based Method for Dynamic Knowledge Extraction, Representation and Inference in Cooperative Multiple Robot System
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    Chapter 100 Hybrid Force and Position Control of Robotic Manipulators Using Passivity Backstepping Neural Networks
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    Chapter 101 New Global Asymptotic Stability Criterion for Uncertain Neural Networks with Time-Varying and Distributed Delays
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    Chapter 102 Equilibrium Points and Stability Analysis of a Class of Neural Networks
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    Chapter 103 Global Exponential Stability of Fuzzy Cohen-Grossberg Neural Networks with Variable Delays
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    Chapter 104 Some New Stability Conditions of Delayed Neural Networks with Saturation Activation Functions
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    Chapter 105 Finite-Time Boundedness Analysis of Uncertain Neural Networks with Time Delay: An LMI Approach
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    Chapter 106 Global Asymptotic Stability of Cellular Neutral Networks With Variable Coefficients and Time-Varying Delays
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    Chapter 107 Exponential Stability of Discrete-Time Cohen-Grossberg Neural Networks with Delays
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    Chapter 108 The Tracking Speed of Continuous Attractors
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    Chapter 109 Novel Global Asymptotic Stability Conditions for Hopfield Neural Networks with Time Delays
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    Chapter 110 Periodic Solution of Cohen-Grossberg Neural Networks with Variable Coefficients
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    Chapter 111 Existence and Stability of Periodic Solution of Non-autonomous Neural Networks with Delay
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    Chapter 112 Stability Analysis of Generalized Nonautonomous Cellular Neural Networks with Time-Varying Delays
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    Chapter 113 LMI-Based Approach for Global Asymptotic Stability Analysis of Discrete-Time Cohen-Grossberg Neural Networks
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    Chapter 114 Novel LMI Criteria for Stability of Neural Networks with Distributed Delays
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    Chapter 115 Asymptotic Convergence Properties of Entropy Regularized Likelihood Learning on Finite Mixtures with Automatic Model Selection
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    Chapter 116 Existence and Stability of Periodic Solutions for Cohen-Grossberg Neural Networks with Less Restrictive Amplification
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    Chapter 117 Global Exponential Convergence of Time-Varying Delayed Neural Networks with High Gain
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    Chapter 118 Global Asymptotic Stability of Cohen-Grossberg Neural Networks with Mixed Time-Varying Delays
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    Chapter 119 Differences in Input Space Stability Between Using the Inverted Output of Amplifier and Negative Conductance for Inhibitory Synapse
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    Chapter 120 Global Asymptotical Stability for Neural Networks with Multiple Time-Varying Delays
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    Chapter 121 Positive Solutions of General Delayed Competitive or Cooperative Lotka-Volterra Systems
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    Chapter 122 An Improvement of Park-Chung-Cho’s Stream Authentication Scheme by Using Information Dispersal Algorithm
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    Chapter 123 Dynamics of Continuous-Time Neural Networks and Their Discrete-Time Analogues with Distributed Delays
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    Chapter 124 Dynamic Analysis of a Novel Artificial Neural Oscillator
  126. Altmetric Badge
    Chapter 125 Ensembling Extreme Learning Machines
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    Chapter 126 A Robust Online Sequential Extreme Learning Machine
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    Chapter 127 An Improved On-Line Sequential Learning Algorithm for Extreme Learning Machine
  129. Altmetric Badge
    Chapter 128 Intelligence Through Interaction: Towards a Unified Theory for Learning
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    Chapter 129 An Improved Multiple-Instance Learning Algorithm
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    Chapter 130 Uniform Approximation Capabilities of Sum-of-Product and Sigma-Pi-Sigma Neural Networks
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    Chapter 131 Regularization for Regression Models Based on the K-Functional with Besov Norm
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    Chapter 132 Neuro-electrophysiological Argument on Energy Coding
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    Chapter 133 A Cognitive Model of Concept Learning with a Flexible Internal Representation System
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    Chapter 134 Statistical Neurodynamics for Sequence Processing Neural Networks with Finite Dilution
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    Chapter 135 A Novel Elliptical Basis Function Neural Networks Model Based on a Hybrid Learning Algorithm
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    Chapter 136 A Multi-Instance Learning Algorithm Based on Normalized Radial Basis Function Network
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    Chapter 137 Neural Networks Training with Optimal Bounded Ellipsoid Algorithm
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    Chapter 138 Efficient Training of RBF Networks Via the BYY Automated Model Selection Learning Algorithms
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    Chapter 139 Unsupervised Image Categorization Using Constrained Entropy-Regularized Likelihood Learning with Pairwise Constraints
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    Chapter 140 Mistaken Driven and Unconditional Learning of NTC
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    Chapter 141 Investigation on Sparse Kernel Density Estimator Via Harmony Data Smoothing Learning
  143. Altmetric Badge
    Chapter 142 Analogy-Based Learning How to Construct an Object Model
  144. Altmetric Badge
    Chapter 143 Informative Gene Set Selection Via Distance Sensitive Rival Penalized Competitive Learning and Redundancy Analysis
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    Chapter 144 Incremental Learning and Its Application to Bushing Condition Monitoring
  146. Altmetric Badge
    Chapter 145 Approximation Property of Weighted Wavelet Neural Networks
  147. Altmetric Badge
    Chapter 146 Estimation of State Variables in Semiautogenous Mills by Means of a Neural Moving Horizon State Estimator
  148. Altmetric Badge
    Chapter 147 Advances in Neural Networks – ISNN 2007
  149. Altmetric Badge
    Chapter 148 A Comparison of Four Data Mining Models: Bayes, Neural Network, SVM and Decision Trees in Identifying Syndromes in Coronary Heart Disease
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    Chapter 149 A Concept Lattice-Based Kernel Method for Mining Knowledge in an M-Commerce System
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    Chapter 150 A Novel Data Mining Method for Network Anomaly Detection Based on Transductive Scheme
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    Chapter 151 Handling Missing Data from Heteroskedastic and Nonstationary Data
  153. Altmetric Badge
    Chapter 152 A Novel Feature Vector Using Complex HRRP for Radar Target Recognition
  154. Altmetric Badge
    Chapter 153 A Probabilistic Approach to Feature Selection for Multi-class Text Categorization
  155. Altmetric Badge
    Chapter 154 Zero-Crossing-Based Feature Extraction for Voice Command Systems Using Neck-Microphones
  156. Altmetric Badge
    Chapter 155 Memetic Algorithms for Feature Selection on Microarray Data
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    Chapter 156 Feature Bispectra and RBF Based FM Signal Recognition
  158. Altmetric Badge
    Chapter 157 A Rotated Image Matching Method Based on CISD
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

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1 X user
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2 Wikipedia pages

Citations

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Title
Advances in Neural Networks – ISNN 2007
Published by
Lecture notes in computer science, January 2007
DOI 10.1007/978-3-540-72383-7
ISBNs
978-3-54-072382-0, 978-3-54-072383-7, 978-3-54-072392-9, 978-3-54-072394-3, 978-3-54-072393-6
Authors

Derong Liu, Shumin Fei, Zeng-Guang Hou, Huaguang Zhang, Changyin Sun, Liu, Derong, HSU, ARTHUR, HALGAMUGE, SAMAN, ZHAI, YU-ZHENG

Editors

Liu, Derong, Fei, Shumin, Hou, Zeng-Guang, Zhang, Huaguang, Sun, Changyin

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 <1%
Unknown 193 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 <1%
Researcher 1 <1%
Student > Master 1 <1%
Unknown 191 98%
Readers by discipline Count As %
Engineering 2 1%
Computer Science 1 <1%
Unknown 191 98%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 August 2022.
All research outputs
#6,508,296
of 23,072,295 outputs
Outputs from Lecture notes in computer science
#2,115
of 8,145 outputs
Outputs of similar age
#35,380
of 157,788 outputs
Outputs of similar age from Lecture notes in computer science
#25
of 59 outputs
Altmetric has tracked 23,072,295 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 8,145 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 157,788 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.