Contents

• Contents
• Introduction
  • Motivation
  • Principles of Neuronal Networks
  • Principles of Genetic Algorithms
  • About this Project
• Neuronal Networks
  • Topology
  • Temporal Behaviour
  • Common Network Types
  • The Neurone
• The Genetic Algorithm
  • Chromosome Strings
  • The Individual
  • The Population
  • Fitness
  • Evolution
• Backpropagation
  • The Error Gradient
  • Evaluation and Backpropagation
  • Backpropagation for a 2-Layer Network
• Parallelism
  • Performance Measures
  • Parallel Architectures
  • The Parallel Genetic Algorithm
  • A Combined Algorithm
• Implementations
  • Program Layout
  • Sample Problems
  • Program Modules
  • Example Session: Parallel XOR-Problem
• Performance
  • Efficiency of Parallelisation
  • The XOR-Problem
  • The 1-Norm Problem
  • The Comparator Problem
  • Conclusion
• Bibliography
• Makefile
• Source Code
  • Problem Definitions
  • Module: Definitions
  • Module: Sequential
  • Module: Parallel
  • Module: Simulation
  • Module: Individual
  • Module: Standard Network
  • Module: Genetic Algorithm
  • Module: Backpropagation
  • Module: Genetic Backpropagation
  • Main Modules