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Advances in Computational Intelligence

Overview of attention for book
Cover of 'Advances in Computational Intelligence'

Table of Contents

  1. Altmetric Badge
    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
  51. Altmetric Badge
    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
Attention for Chapter 50: Geometrical Complexity of Data Approximators
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Citations

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Chapter title
Geometrical Complexity of Data Approximators
Chapter number 50
Book title
Advances in Computational Intelligence
Published in
arXiv, January 2013
DOI 10.1007/978-3-642-38679-4_50
Book ISBNs
978-3-64-238678-7, 978-3-64-238679-4
Authors

Evgeny M. Mirkes, Andrei Zinovyev, Alexander N. Gorban, E. M. Mirkes, A. Zinovyev, A. N. Gorban

Editors

Ignacio Rojas, Gonzalo Joya, Joan Gabestany

View on publisher site
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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 55%
Student > Master 3 27%
Student > Ph. D. Student 1 9%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 2 18%
Earth and Planetary Sciences 2 18%
Agricultural and Biological Sciences 2 18%
Mathematics 1 9%
Unknown 4 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 May 2013.
All research outputs
#20,182,546
of 22,696,971 outputs
Outputs from arXiv
#666,427
of 930,346 outputs
Outputs of similar age
#248,706
of 280,682 outputs
Outputs of similar age from arXiv
#3,170
of 5,070 outputs
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So far Altmetric has tracked 930,346 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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