PART I: BASIC CONCEPTS
Defining the Area
Neuron
Linking Neurons into Networks
PART II: ONE-LAYER-NETWORKS
Hopfield Network
Adaptive Bidirectional Associative Memory (ABAM)
Kohonen Network
PART III: MULTI-LAYER NETWORKS
Counter-Propagation
Back-Propagation of Errors
PART IV: APPLICATIONS
General Comments on Chemical Applications
Clustering of Multicomponent Analytical Data of Olive Oils
The Reactivity of Chemical Bonds and the Classifiaction of Chemical Reactions
HPLC Optimization of Wine Analysis
Quantitative Structure-Activity Relationships
The Electrophilic Aromatic Substitution Reaction
Modelling and Optimization of a Recipe for a Paint
Coating
Fault Detection and Process Control
Secondary Structure of Proteins
Infrared Spectrum-Structure Correlations
Properties of Molecular Surfaces
Libraries of Chemical Compounds
Representation of Chemical Structure
Prospects of Neural Networks for Applications and Developments in Chemistry