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...
Main Author: | |
---|---|
Corporate Author: | |
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.