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Handbook of Neuroevolution Through Erlang

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Cover of 'Handbook of Neuroevolution Through Erlang'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Applications & Motivations
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    Chapter 2 Introduction to Neural Networks
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    Chapter 3 Introduction to Evolutionary Computation
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    Chapter 4 Introduction to Neuroevolutionary Methods
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    Chapter 5 The Unintentional Neural Network Programming Language
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    Chapter 6 Developing a Feed Forward Neural Network
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    Chapter 7 Adding the “Stochastic Hill-Climber” Learning Algorithm
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    Chapter 8 Developing a Simple Neuroevolutionary Platform
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    Chapter 9 Testing the Neuroevolutionary System
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    Chapter 10 DXNN: A Case Study
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    Chapter 11 Decoupling & Modularizing Our Neuroevolutionary Platform
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    Chapter 12 Keeping Track of Important Population and Evolutionary Stats
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    Chapter 13 The Benchmarker
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    Chapter 14 Creating the Two Slightly More Complex Benchmarks
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    Chapter 15 Neural Plasticity
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    Chapter 16 Substrate Encoding
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    Chapter 17 Substrate Plasticity
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    Chapter 18 Artificial Life
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    Chapter 19 Evolving Currency Trading Agents
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    Chapter 20 Conclusion
Attention for Chapter 7: Adding the “Stochastic Hill-Climber” Learning Algorithm
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