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Evolving Connectionist Systems

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Cover of 'Evolving Connectionist Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Feature Selection, Model Creation, and Model Validation
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    Chapter 2 Evolving Connectionist Methods for Unsupervised Learning
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    Chapter 3 Evolving Connectionist Methods for Supervised Learning
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    Chapter 4 Brain Inspired Evolving Connectionist Models
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    Chapter 5 Evolving Neuro-Fuzzy Inference Models
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    Chapter 6 Population-Generation-Based Methods: Evolutionary Computation
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    Chapter 7 Evolving Integrated Multimodel Systems
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    Chapter 8 Adaptive Modelling and Knowledge Discovery in Bioinformatics
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    Chapter 9 Dynamic Modelling of Brain Functions and Cognitive Processes
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    Chapter 10 Modelling the Emergence of Acoustic Segments in Spoken Languages
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    Chapter 11 Evolving Intelligent Systems for Adaptive Speech Recognition
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    Chapter 12 Evolving Intelligent Systems for Adaptive Image Processing
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    Chapter 13 Evolving Intelligent Systems for Adaptive Multimodal Information Processing
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    Chapter 14 Evolving Intelligent Systems for Robotics and Decision Support
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    Chapter 15 What Is Next: Quantum Inspired Evolving Intelligent Systems?
Attention for Chapter 13: Evolving Intelligent Systems for Adaptive Multimodal Information Processing
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