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Nature-Inspired Computation and Machine Learning

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Table of Contents

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    Book Overview
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    Chapter 1 Performance Classification of Genetic Algorithms on Continuous Optimization Problems
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    Chapter 2 A Multi-objective Genetic Algorithm for the Software Project Scheduling Problem
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    Chapter 3 An Effective Method for MOGAs Initialization to Solve the Multi-Objective Next Release Problem
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    Chapter 4 Extension of the Method of Musical Composition for the Treatment of Multi-objective Optimization Problems
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    Chapter 5 k-Nearest-Neighbor by Differential Evolution for Time Series Forecasting
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    Chapter 6 A Binary Differential Evolution with Adaptive Parameters Applied to the Multiple Knapsack Problem
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    Chapter 7 The Best Neural Network Architecture
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    Chapter 8 On the Connection Weight Space Structure of a Two-Neuron Discrete Neural Network: Bifurcations of the Fixed Point at the Origin
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    Chapter 9 Stability of Modular Recurrent Trainable Neural Networks
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    Chapter 10 Intelligent Control of Induction Motor Based Comparative Study: Analysis of Two Topologies
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    Chapter 11 Auto-Adaptive Neuro-Fuzzy Parameter Regulator for Motor Drive
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    Chapter 12 Voting Algorithms Model with a Support Sets System by Class
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    Chapter 13 A Meta Classifier by Clustering of Classifiers
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    Chapter 14 Multiple Kernel Support Vector Machine Problem Is NP-Complete
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    Chapter 15 Feature Analysis for the Classification of Volcanic Seismic Events Using Support Vector Machines
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    Chapter 16 A Hierarchical Reinforcement Learning Based Artificial Intelligence for Non-Player Characters in Video Games
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    Chapter 17 Wind Power Forecasting Using Dynamic Bayesian Models
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    Chapter 18 Predictive Models Applied to Heavy Duty Equipment Management
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    Chapter 19 Customer Churn Prediction in Telecommunication Industry: With and without Counter-Example
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    Chapter 20 Audio-to-Audio Alignment for Performances Tracking
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    Chapter 21 Statistical Features Based Noise Type Identification
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    Chapter 22 Using Values of the Human Cochlea in the Macro and Micro Mechanical Model for Automatic Speech Recognition
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    Chapter 23 Identification of Vowel Sounds of the Choapan Variant of Zapotec Language
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    Chapter 24 An Open-Domain Cause-Effect Relation Detection from Paired Nominals
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    Chapter 25 An Alignment Comparator for Entity Resolution with Multi-valued Attributes
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    Chapter 26 Data Mining for Discovering Patterns in Migration
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    Chapter 27 Horizontal Partitioning of Multimedia Databases Using Hierarchical Agglomerative Clustering
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    Chapter 28 Classification with Graph-Based Markov Chain
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    Chapter 29 Solving Binary Cutting Stock with Matheuristics
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    Chapter 30 Nature-Inspired Optimization of Type-2 Fuzzy Systems
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    Chapter 31 Hierarchical Genetic Algorithms for Fuzzy Inference System Optimization Applied to Response Integration for Pattern Recognition
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    Chapter 32 Low-Cost Fuzzy-Based Obstacle Avoidance Method for Autonomous Agents
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    Chapter 33 Fuzzy Controller for a Pneumatic Positioning Nonlinear System
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    Chapter 34 Yager–Rybalov Triple Π Operator as a Means of Reducing the Number of Generated Clusters in Unsupervised Anuran Vocalization Recognition
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    Chapter 35 AI-Based Design of a Parallel Robot Used as a Laser Tracker System: Intelligent vs. Nonlinear Classical Controllers
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    Chapter 36 Simple Direct Propositional Encoding of Cooperative Path Finding Simplified Yet More
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    Chapter 37 Pendulum Position Based Fuzzy Regulator of the Furuta Pendulum – A Stable Closed-Loop System Design Approach
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    Chapter 38 A Fast Scheduling Algorithm for Detection and Localization of Hidden Objects Based on Data Gathering in Wireless Sensor Networks
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    Chapter 39 A Constraint-Based Planner for Mars Express Orbiter
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    Chapter 40 Glucose Oxidase Biosensor Modeling by Machine Learning Methods
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    Chapter 41 On the Breast Mass Diagnosis Using Bayesian Networks
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    Chapter 42 Predicting the Occurrence of Sepsis by In Silico Simulation
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    Chapter 43 Data Mining and Machine Learning on the Basis from Reflexive Eye Movements Can Predict Symptom Development in Individual Parkinson’s Patients
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    Chapter 44 Agents That Help to Avoid Hyperthermia in Young Children Left in a Baby Seat Inside an Enclosed Car
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Title
Nature-Inspired Computation and Machine Learning
Published by
Springer, Cham, January 2014
DOI 10.1007/978-3-319-13650-9
ISBNs
978-3-31-913649-3, 978-3-31-913650-9
Editors

Alexander Gelbukh, Félix Castro Espinoza, Sofía N. Galicia-Haro

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Professor 3 15%
Student > Master 3 15%
Student > Bachelor 2 10%
Unknown 8 40%
Readers by discipline Count As %
Computer Science 6 30%
Engineering 3 15%
Mathematics 1 5%
Environmental Science 1 5%
Unknown 9 45%