Neural networks in chemistry and drug design /
Enregistré dans:
| Auteur principal: | |
|---|---|
| Autres auteurs: | |
| Format: | Livre |
| Langue: | English |
| Publié: |
Weinheim ; Chichester :
Wiley-VCH,
c1999.
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| Édition: | 2nd ed. |
| Sujets: | |
| Accès en ligne: | Table of contents Publisher description |
Table des matières:
- Machine derived contents note: 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.