Handbook of Neuroevolution Through Erlang

• Κύριος συγγραφέας: Sher, Gene I. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2013.
• Θέματα: Computer science.; Software engineering.; Artificial intelligence.; Bioinformatics.; Computer Science.; Software Engineering/Programming and Operating Systems.; Artificial Intelligence (incl. Robotics).; Computational Biology/Bioinformatics.

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...

Πίνακας περιεχομένων:

• 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.