×

zbMATH — the first resource for mathematics

Foundations of neural networks. (English) Zbl 0752.92003
Addison-Wesley Series in New Horizons in Technology. Reading, MA etc.: Addison-Wesley Publishing Co.. xii, 196 p. (1990).
This is a comprehensive review of the concepts, models and results in the theory of neural nets. The author “lays no claims to being the originator” of these, in his own words.
Chapter 1 is introductory, chapters 2 and 3 are centered around the concept of associative memory with a special focus on perceptrons and emphasis on the parallel nature of their computational process. Chapter 4 is devoted to learning by back propagation. In chapter 5 are examined some of the learning paradigms from the recent literature. Chapter 6 discusses two approaches toward large networks: Hopfield nets and the phase-locking approach of Hoppensteadt.
The book is written very clearly and being supplied with a glossary, a relatively vast bibliography, and may excellently serve as a primer for the beginner in this field.

MSC:
92B20 Neural networks for/in biological studies, artificial life and related topics
68T05 Learning and adaptive systems in artificial intelligence
92-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to biology
68-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science
PDF BibTeX XML Cite