This book explains the basic concepts, theory and applications of neural networks in a simple unified approach with clear examples and simulations in the MATLAB programming language.
Chapter 1. Introduction.- Chapter 2. Multilayer Perceptron (MLP) Neural Networks.- Chapter 3- Neural Networks Training Based on Recursive Least Squares (RLS).- Chapter 4. Neural Networks Training Based on Second-Order Optimization Technique.- Chapter 5. Neural Networks Training Based on Genetic Algorithm.- Chapter 6. Neural Network Training Based on Particle Swarm Optimization (PSO).- Chapter 7- Neural Network Training Based on UKF.- Chapter 8. Designing Neural-Fuzzy PID Controller through Multiobjective Optimization.