NEURAL NETWORKS FOR CHEMISTS 2ED
Ouvrage 3-527-29779-0 : NEURAL NETWORKS FOR CHEMISTS 2ED
This new edition of a best-seller offers a sound introduction to
artificial neuronal networks_with insights into their architecture,
functioning, and applications. Well organized and clearly written, it
offers a wealth of useful information and invaluable practical guidance
on this growing new area of chemical research.
Table of Contents
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.
Auteur : ZUPAN
Editeur : VCH
Nombre de pages : 300
Date de publication : 09 1999
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