Neural networks in chemistry and drug design /
Sábháilte in:
| Príomhchruthaitheoir: | |
|---|---|
| Rannpháirtithe: | |
| Formáid: | LEABHAR |
| Teanga: | English |
| Foilsithe / Cruthaithe: |
Weinheim ; Chichester :
Wiley-VCH,
c1999.
|
| Eagrán: | 2nd ed. |
| Ábhair: | |
| Rochtain ar líne: | Table of contents Publisher description |
Clár na nÁbhar:
- 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.