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Computational Intelligence

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Cover of 'Computational Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Niching-Based Feature Selection with Multi-tree Genetic Programming for Dynamic Flexible Job Shop Scheduling
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    Chapter 2 Building Market Timing Strategies Using Trend Representative Testing and Computational Intelligence Metaheuristics
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    Chapter 3 Hybrid Strategy Coupling EGO and CMA-ES for Structural Topology Optimization in Statics and Crashworthiness
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    Chapter 4 An Empirical Study on Insertion and Deletion Mutation in Cartesian Genetic Programming
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    Chapter 5 Handling Complexity in Some Typical Problems of Distributed Systems by Using Self-organizing Principles
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    Chapter 6 Markov Decision Processes with Fuzzy Risk-Sensitive Rewards: The Best Coherent Risk Measures Under Risk Averse Utilities
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    Chapter 7 Correlation Analysis Via Intuitionistic Fuzzy Modal and Aggregation Operators
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    Chapter 8 Fuzzy Geometric Approach to Collision Estimation Under Gaussian Noise in Human-Robot Interaction
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    Chapter 9 Predicting Cardiovascular Death with Automatically Designed Fuzzy Logic Rule-Based Models
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    Chapter 10 Neural Models to Quantify the Determinants of Truck Fuel Consumption
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    Chapter 11 Towards a Class-Aware Information Granulation for Graph Embedding and Classification
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    Chapter 12 Near Optimal Solving of the (N $$^2$$ 2 –1)-puzzle Using Heuristics Based on Artificial Neural Networks
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    Chapter 13 Deep Convolutional Neural Network Processing of Images for Obstacle Avoidance
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    Chapter 14 CVaR Q-Learning
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    Chapter 15 Rule Extraction from Neural Networks and Other Classifiers Applied to XSS Detection
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    Chapter 16 Introduction to Sequential Heteroscedastic Probabilistic Neural Networks
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Title
Computational Intelligence
Published by
Springer International Publishing, May 2021
DOI 10.1007/978-3-030-70594-7
ISBNs
978-3-03-070593-0, 978-3-03-070594-7
Editors

Merelo, Juan Julián, Garibaldi, Jonathan, Linares-Barranco, Alejandro, Warwick, Kevin, Madani, Kurosh

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