Skip to main content
  • Book
  • © 2013

Handbook of Neuroevolution Through Erlang

Authors:

  • Provides a friendly step-by-step guide on the construction of Topology and Weight Evolving Artificial Neural Network systems from start to finish

  • Covers novel material for using Erlang in the construction of TWEANN systems

  • Explains why Neural Network based Computational Intelligence systems map perfectly to Erlang’s architecture, and the importance of this programming language to the future of computational intelligence

  • Introduces new TWEANN algorithms, with the final result being a concurrent, cutting edge, direct and indirect encoded, plasticity enabled, TWEANN platform

Buying options

eBook USD 189.00
Price excludes VAT (USA)
  • ISBN: 978-1-4614-4463-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 249.99
Price excludes VAT (USA)
Hardcover Book USD 349.99
Price excludes VAT (USA)

This is a preview of subscription content, access via your institution.

Table of contents (20 chapters)

  1. Front Matter

    Pages i-xx
  2. Foundations

    1. Front Matter

      Pages 41-41
    2. Introduction to Neural Networks

      • Gene I. Sher
      Pages 43-79
    3. Introduction to Evolutionary Computation

      • Gene I. Sher
      Pages 81-104
    4. Introduction to Neuroevolutionary Methods

      • Gene I. Sher
      Pages 105-141
  3. Neuroevolution: Taking the First Step

    1. Front Matter

      Pages 151-151
    2. Developing a Feed Forward Neural Network

      • Gene I. Sher
      Pages 153-185
    3. Testing the Neuroevolutionary System

      • Gene I. Sher
      Pages 347-395
  4. A Case Study

    1. Front Matter

      Pages 397-397
    2. DXNN: A Case Study

      • Gene I. Sher
      Pages 399-444
  5. Advanced Neuroevolution: Creating the Cutting Edge

    1. Front Matter

      Pages 445-445
    2. The Benchmarker

      • Gene I. Sher
      Pages 547-571
    3. Neural Plasticity

      • Gene I. Sher
      Pages 609-659

About this book

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 Topology and Weight Evolving Artificial Neural Network (TWEANN) platform. In a step-by-step format, the reader is guided from a single simulated neuron to a complete system. By following these steps, the reader will be able to use novel technology to build a TWEANN system, which can be applied to Artificial Life simulation, and Forex trading. Because of Erlang’s architecture, it perfectly matches that of evolutionary and neurocomptational systems. As a programming language, it is a concurrent, message passing paradigm which allows the developers to make full use of the multi-core & multi-cpu systems. Handbook of Neuroevolution Through Erlang explains how to leverage Erlang’s features in the field of machine learning, and the system’s real world applications, ranging from algorithmic financial trading to artificial life and robotics.

Keywords

  • Algorithmic trading
  • Artificial Life
  • Artificial intelligence
  • Computational intelligence
  • Computer vision
  • Erlang
  • Evolutionary computation
  • Genetic algorithm
  • Genetic programming
  • Machine learning
  • Neural network
  • Robotics
  • Soft computing
  • Time series analysis
  • dxnn

Authors and Affiliations

  • University of Central Florida, Orlando, USA

    Gene I. Sher

Bibliographic Information

Buying options

eBook USD 189.00
Price excludes VAT (USA)
  • ISBN: 978-1-4614-4463-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 249.99
Price excludes VAT (USA)
Hardcover Book USD 349.99
Price excludes VAT (USA)