MacLeod C. An Introduction to Practical Neural Networks and Genetic Algorithms for Engineers and Scientists

Robert Gordon University, Aberdeen, Scotland, 2001, -157 p.An introductory course on Neural Networks and Genetic Algorithms.Part A – Neural Networks
An introduction to Neural Networks
Artificial Neural Networks
The Back Propagation Algorithm
Some illustrative applications feed forward networks
Pre-processing input data
Network layers and size
Hopfield and recurrent networks
Competitive networks
Neurons with time dependent outputs
Implementing neural nets
Part B – Evolutionary Algorithms
An introduction to evolution
The Genetic Algorithm
Some applications of Genetic Algorithms
Additions to the basic GA
Applying Genetic Algorithms to Neural Networks
Evolutionary Strategies and Evolutionary Programming
Evolutionary Algorithms in advanced AI systems
A – Tips for programmers