Book Summary:

BASIC CONCEPTS. Defining the Area. Neuron. Linking Neurons into Networks. ONE-LAYER NETWORKS. Hopfield Network. Adaptive Bidirectional Associative Memory (ABAM). Kohonen Network. MULTILAYER NETWORKS. Counter-Propagation. Back-Propagation of Errors. APPLICATIONS. General Comments on Chemical Applications. Clustering of Multi-Component Analytical Data for Olive Oils. The Reactivity of Chemical Bonds and the Classification of Chemical Reactions. HPLC Optimization of Wine Analysis. Quantitative Structure-Activity Relationships. The Electrophilic Aromatic Substitution Reaction. Modeling and Optimizing a Recipe for a Paint Coating. Fault Detection and Process Control. Secondary Structure of Proteins. Infrared Spectrum-Structure Correlation. Properties of Molecular Surfaces. Libraries of Chemical Compounds. Representation of Chemical Structures. Prospects of Neural Networks for Chemical Applications. Appendices.