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Adaptive and Natural Computing Algorithms

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Cover of 'Adaptive and Natural Computing Algorithms'

Table of Contents

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    Book Overview
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    Chapter 1 Autonomous Discovery of Abstract Concepts by a Robot
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    Chapter 2 Kernel Networks with Fixed and Variable Widths
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    Chapter 3 Evaluating Reliability of Single Classifications of Neural Networks
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    Chapter 4 Nonlinear Predictive Control Based on Multivariable Neural Wiener Models
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    Chapter 5 Methods of Integration of Ensemble of Neural Predictors of Time Series - Comparative Analysis
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    Chapter 6 A Rejection Option for the Multilayer Perceptron Using Hyperplanes
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    Chapter 7 Parallelization of Algorithms with Recurrent Neural Networks
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    Chapter 8 Parallel Training of Artificial Neural Networks Using Multithreaded and Multicore CPUs
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    Chapter 9 Supporting Diagnostics of Coronary Artery Disease with Neural Networks
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    Chapter 10 The Right Delay
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    Chapter 11 New Measure of Boolean Factor Analysis Quality
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    Chapter 12 Mechanisms of Adaptive Spatial Integration in a Neural Model of Cortical Motion Processing
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    Chapter 13 Self-organized Short-Term Memory Mechanism in Spiking Neural Network
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    Chapter 14 Approximation of Functions by Multivariable Hermite Basis: A Hybrid Method
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    Chapter 15 Using Pattern Recognition to Predict Driver Intent
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    Chapter 16 Neural Networks Committee for Improvement of Metal’s Mechanical Properties Estimates
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    Chapter 17 Logarithmic Multiplier in Hardware Implementation of Neural Networks
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    Chapter 18 Efficiently Explaining Decisions of Probabilistic RBF Classification Networks
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    Chapter 19 Evolving Sum and Composite Kernel Functions for Regularization Networks
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    Chapter 20 Optimisation of Concentrating Solar Thermal Power Plants with Neural Networks
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    Chapter 21 Emergence of Attention Focus in a Biologically-Based Bidirectionally-Connected Hierarchical Network
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    Chapter 22 Visualizing Multidimensional Data through Multilayer Perceptron Maps
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    Chapter 23 Input Separability in Living Liquid State Machines
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    Chapter 24 Predictive Control of a Distillation Column Using a Control-Oriented Neural Model
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    Chapter 25 Neural Prediction of Product Quality Based on Pilot Paper Machine Process Measurements
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    Chapter 26 A Robotic Scenario for Programmable Fixed-Weight Neural Networks Exhibiting Multiple Behaviors
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    Chapter 27 Self-Organising Maps in Document Classification: A Comparison with Six Machine Learning Methods
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    Chapter 28 Analysis and Short-Term Forecasting of Highway Traffic Flow in Slovenia
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    Chapter 29 A New Method of EEG Classification for BCI with Feature Extraction Based on Higher Order Statistics of Wavelet Components and Selection with Genetic Algorithms
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    Chapter 30 Regressor Survival Rate Estimation for Enhanced Crossover Configuration
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    Chapter 31 A Study on Population’s Diversity for Dynamic Environments
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    Chapter 32 Effect of the Block Occupancy in GPGPU over the Performance of Particle Swarm Algorithm
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    Chapter 33 Two Improvement Strategies for Logistic Dynamic Particle Swarm Optimization
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    Chapter 34 Digital Watermarking Enhancement Using Wavelet Filter Parametrization
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    Chapter 35 CellularDE: A Cellular Based Differential Evolution for Dynamic Optimization Problems
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    Chapter 36 Optimization of Topological Active Nets with Differential Evolution
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    Chapter 37 Study on the Effects of Pseudorandom Generation Quality on the Performance of Differential Evolution
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    Chapter 38 Sensitiveness of Evolutionary Algorithms to the Random Number Generator
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    Chapter 39 New Efficient Techniques for Dynamic Detection of Likely Invariants
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    Chapter 40 Classification Ensemble by Genetic Algorithms
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    Chapter 41 Simulated Evolution (SimE) Based Embedded System Synthesis Algorithm for Electric Circuit Units (ECUs)
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    Chapter 42 Taxi Pick-Ups Route Optimization Using Genetic Algorithms
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    Chapter 43 Optimization of Gaussian Process Models with Evolutionary Algorithms
Attention for Chapter 40: Classification Ensemble by Genetic Algorithms
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Chapter title
Classification Ensemble by Genetic Algorithms
Chapter number 40
Book title
Adaptive and Natural Computing Algorithms
Published by
Springer, Berlin, Heidelberg, April 2011
DOI 10.1007/978-3-642-20282-7_40
Book ISBNs
978-3-64-220281-0, 978-3-64-220282-7

Hamid Parvin, Behrouz Minaei, Akram Beigi, Hoda Helmi

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 27%
Student > Bachelor 4 27%
Student > Ph. D. Student 3 20%
Lecturer > Senior Lecturer 1 7%
Professor > Associate Professor 1 7%
Other 0 0%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 10 67%
Engineering 2 13%
Economics, Econometrics and Finance 1 7%
Unknown 2 13%