Bibframe Work
Part 1. FOUNDATIONS
Introduction to Neural Networks
Introduction to Evolutionary Computation
Introduction to Neuroevolutionary Methods
The Unintentional Neural Network Programming Language
Introduction: Applications & Motivations
Part 2. NEUROEVOLUTION: TAKING THE FIRST STEP
Developing a Feed Forward Neural Network
Adding the "Stochastic Hill-Climber" Learning Algorithm
Developing a Simple Neuroevolutionary Platform
Testing the Neuroevolutionary System
Part 3. A Case Study
DXNN: A Case Study
Part 4. Advanced Neuroevolution: Creating the Cutting Edge
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
Part 5. Applications
Artificial Life
Evolving Currency Trading Agents
Part 6. Promises Kept
Conclusion.
Generation Process: DLC marc2bibframe2 v2.5.0
Status: changed
Encoding Level: minimal
Description Conventions: Anglo-American cataloguing rules
Identified By: bf:Local, 17333507
Change Date: 2017-08-31T12:29:40
Creation Date: 2012-06-06
Description Modifier: United States, Library of Congress
Description Authentication: LC Copy Cataloging
Assigner: VRC