Handbook of Neuroevolution Through Erlang

Handbook of Neuroevolution Through Erlang presents both the theory behind, and the methodology of, developing a neuroevolutionary-based computational intelligence system using Erlang.�With a foreword written by Joe Armstrong, this handbook offers�an extensive�tutorial for�creating a state of the art...

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Bibliographic Details
Main Author: Sher, Gene I. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2013.
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-4463-3
Table of Contents:
  • Introduction: Applications & Motivations
  • Introduction to Neural Networks
  • Introduction to Evolutionary Computation
  • Introduction to Neuroevolutionary Methods
  • The Unintentional Neural Network Programming Language
  • Developing a Feed Forward Neural Network
  • Adding the Stochastic Hill-Climber Learning Algorithm
  • Developing a Simple Neuroevolutionary Platform
  • Testing the Neuroevolutionary System
  • DXNN: A Case Study
  • Decoupling & Modularizing Our Neuroevolutionary Platform
  • Keeping Track of Important Population and Evolutionary Stats
  • The Benchmarker
  • Creating the Two Slightly More Complex Benchmarks
  • Neural Plasticity
  • Substrate Encoding
  • Substrate Plasticity
  • Artificial Life
  • Evolving Currency Trading Agents
  • Conclusion.