1.Introduction What's is neurocomputing?.
2. Neural network concepts, definitions, building blocks.
3. Learning laws : Self-adaption equations.
4. Asssociative networks : Data transformation structures.
5. Mapping networks : Multi-layer data transformation structures.
6. Spatiotemporal, stochastic, hierarchical networks : Frontiers of neurocomputing.
7. Neurosoftware : Descriptions of neural network structure.
8. Neurocomputing : Machines for implementing neural networks.
9. Neurocomputing applications : Sensor processing, control, data analysis.
A. Neurocomputing projects : Developing new capabilities that succeed in the marketplace.
Bibliography.
Index.