20.1 Definitions and Scope Introduction. Definitions and Style of Computation. ANN Types and Applications 20.2 Multilayer Perceptrons Function of Each PE. How to Train MLPs Applying Back- Propagation in Practice. A Posteriori Probabilities 20.3 Radial Basis Function Networks 20.4 Time Lagged Networks Memory Structures. Training-Focused TLN Architectures