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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Sher, Gene I. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Temas:
Software engineering.
Artificial intelligence.
Bioinformatics.
Software Engineering.
Artificial Intelligence.
Computational and Systems Biology.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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