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Advances in Computational Intelligence

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Table of Contents

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    Book Overview
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    Chapter 1 It’s as Easy as ABC
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    Chapter 2 Extreme Learning Machine: A Robust Modeling Technique? Yes!
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    Chapter 3 A Novel Framework to Design Fuzzy Rule-Based Ensembles Using Diversity Induction and Evolutionary Algorithms-Based Classifier Selection and Fusion
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    Chapter 4 Using Nonlinear Dimensionality Reduction to Visualize Classifiers
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    Chapter 5 Which Dissimilarity Is to Be Used When Extracting Typologies in Sequence Analysis? A Comparative Study
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    Chapter 6 Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller
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    Chapter 7 A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel
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    Chapter 8 Robust Sensor and Actuator Fault Diagnosis with GMDH Neural Networks
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    Chapter 9 Diffusion Methods for Wind Power Ramp Detection
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    Chapter 10 Computational Study Based on Supervised Neural Architectures for Fluorescence Detection of Fungicides
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    Chapter 11 Study of Alternative Strategies to Selection of Peer in P2P Wireless Mesh Networks
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    Chapter 12 A Cloud-Based Neural Network Simulation Environment
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    Chapter 13 Performance Evaluation over Indoor Channels of an Unsupervised Decision-Aided Method for OSTBC Systems
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    Chapter 14 A Decision-Making Model for Environmental Behavior in Agent-Based Modeling
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    Chapter 15 Version of the New SHA Standard Applied to Manage Certificate Revocation in VANETs
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    Chapter 16 System Identification of High Impact Resistant Structures
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    Chapter 17 Spikes Monitors for FPGAs, an Experimental Comparative Study
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    Chapter 18 On Second Language Tutoring through Womb Grammars
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    Chapter 19 Simulated Annealing for Real-Time Vertical-Handoff in Wireless Networks
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    Chapter 20 A Fuzzy Tabu Search Approach to Solve a Vehicle Routing Problem
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    Chapter 21 Improved Particle Swarm Optimization Method in Inverse Design Problems
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    Chapter 22 Solving the Unknown Complexity Formula Problem with Genetic Programming
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    Chapter 23 Three Alternatives for Parallel GPU-Based Implementations of High Performance Particle Swarm Optimization
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    Chapter 24 A Particle-Swarm-Optimized Fuzzy Classifier Used for Investment Decision Support
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    Chapter 25 Ant Colony Optimization Inspired Algorithm for 3D Object Segmentation
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    Chapter 26 Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping
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    Chapter 27 Parallel Support Vector Data Description
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    Chapter 28 Antinoise Texture Retrieval Based on PCNN and One-Class SVM
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    Chapter 29 A FPGA Spike-Based Robot Controlled with Neuro-inspired VITE
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    Chapter 30 A Cognitive Approach for Robots’ Autonomous Learning
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    Chapter 31 Self-Organizing Incremental Neural Network (SOINN) as a Mechanism for Motor Babbling and Sensory-Motor Learning in Developmental Robotics
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    Chapter 32 Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks
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    Chapter 33 Committee C-Mantec: A Probabilistic Constructive Neural Network
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    Chapter 34 Secure Semi-supervised Vector Quantization for Dissimilarity Data
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    Chapter 35 Border-Sensitive Learning in Kernelized Learning Vector Quantization
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    Chapter 36 Smoothed Emphasis for Boosting Ensembles
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    Chapter 37 F-Measure as the Error Function to Train Neural Networks
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    Chapter 38 Isomorphisms of Fuzzy Sets and Cut Systems
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    Chapter 39 Hierarchical Modified Regularized Least Squares Fuzzy Support Vector Regression through Multiscale Approach
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    Chapter 40 Minimal Learning Machine: A New Distance-Based Method for Supervised Learning
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    Chapter 41 Extending Extreme Learning Machine with Combination Layer
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    Chapter 42 Texture Classification Using Kernel-Based Techniques
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    Chapter 43 A Genetic Algorithms-Based Approach for Optimizing Similarity Aggregation in Ontology Matching
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    Chapter 44 Automatic Fish Segmentation on Vertical Slot Fishways Using SOM Neural Networks
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    Chapter 45 Clustering of Gene Expression Profiles Applied to Marine Research
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    Chapter 46 Genetic Programming to Improvement FIB Model
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    Chapter 47 Rainfall Forecasting Based on Ensemble Empirical Mode Decomposition and Neural Networks
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    Chapter 48 Self-regulating Neurons in the Sensorimotor Loop
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    Chapter 49 Comparison of Two Memristor Based Neural Network Learning Schemes for Crossbar Architecture
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    Chapter 50 Geometrical Complexity of Data Approximators
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    Chapter 51 Self-Organization Process in Large Spiking Neural Networks Leading to Formation of Working Memory Mechanism
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    Chapter 52 Self-organized Learning by Self-Enforcing Networks
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    Chapter 53 Network Anomaly Detection with Bayesian Self-Organizing Maps
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    Chapter 54 A Novel Neural Network Parallel Adder
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    Chapter 55 Improved Swap Heuristic for the Multiple Knapsack Problem
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    Chapter 56 Maximum Margin Clustering for State Decomposition of Metastable Systems
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    Chapter 57 Hybrid Approach for 2D Strip Packing Problem Using Genetic Algorithm
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    Chapter 58 Sea Clutter Neural Network Classifier: Feature Selection and MLP Design
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    Chapter 59 SONN and MLP Based Solutions for Detecting Fluctuating Targets with Unknown Doppler Shift in Gaussian Interference
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    Chapter 60 An Ensemble of Computational Intelligence Models for Software Maintenance Effort Prediction
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    Chapter 61 Sleep Stage Classification Using Advanced Intelligent Methods
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    Chapter 62 An n-Spheres Based Synthetic Data Generator for Supervised Classification
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    Chapter 63 Improving the Classification Performance of Optimal Linear Associative Memory in the Presence of Outliers
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    Chapter 64 SMBSRP: A Search Mechanism Based on Interest Similarity, Query Relevance and Distance Prediction
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    Chapter 65 An Unfolding-Based Preprocess for Reinforcing Thresholds in Fuzzy Tabulation
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    Chapter 66 Erratum: SONN and MLP Based Solutions for Detecting Fluctuating Targets with Unknown Doppler Shift in Gaussian Interference
Overall attention for this book and its chapters
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Title
Advances in Computational Intelligence
Published by
Springer Berlin Heidelberg, January 2013
DOI 10.1007/978-3-642-38679-4
ISBNs
978-3-64-238678-7, 978-3-64-238679-4
Editors

Ignacio Rojas, Gonzalo Joya, Joan Gabestany

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 100%
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Social Sciences 1 100%
Engineering 1 100%