http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Principles of artificial neutral networks
1. Introduction and role of artificial neural networks -- 2. Fundamentals of biological neural networks -- 3. Basic principles of ANNs and their early structures-- 4. The perceptron -- 5. The madaline -- 6. Back propagation -- 7. Hopfield networks -- 8. Counter propagation -- 9. Large scale memory storage and retrieval (LAMSTAR) network -- 10. Adaptive resonance theory -- 11. The cognitron and the neocognitron -- 12. Statistical training -- 13. Recurrent (time cycling) back propagation networks
Includes bibliographical references (p. 349-359) and index