Artificial neural networks - Info and Reading Options
By Robert J. Schalkoff
"Artificial neural networks" was published by McGraw-Hill in 1997 - New York, it has 422 pages and the language of the book is English.
“Artificial neural networks” Metadata:
- Title: Artificial neural networks
- Author: Robert J. Schalkoff
- Language: English
- Number of Pages: 422
- Publisher: McGraw-Hill
- Publish Date: 1997
- Publish Location: New York
“Artificial neural networks” Subjects and Themes:
- Subjects: ➤ Neural networks (Computer science) - Computer Neural Networks - Réseaux neuronaux (Informatique) - Neuronales Netz - Neurale netwerken - Kunstmatige intelligentie - Inteligencia artificial - NEURAL NETS - LOGIC CIRCUITS - GENETIC ALGORITHMS - CYBERNETICS
Edition Specifications:
- Pagination: xxi, 422 p. :
Edition Identifiers:
- The Open Library ID: OL1009444M - OL3353066W
- Online Computer Library Center (OCLC) ID: 35911511
- Library of Congress Control Number (LCCN): 96049477
- ISBN-10: 007057118X
- All ISBNs: 007057118X
AI-generated Review of “Artificial neural networks”:
"Artificial neural networks" Description:
The Open Library:
Artificial Neural Networks brings together an identifiable core of ideas, techniques, and applications that characterize this emerging field. The text is intended for beginning graduate/advanced undergraduate students as well as practicing engineers and scientists. The text is suitable for use in a one- or two-semester course and may be supplemented by individual student projects and readings from the literature. Numerous exercises are presented to challenge and motivate the reader to further explore relevant concepts. Many of these exercises can be expanded into projects and thesis work. No previous experience in this field is assumed, although readers familiar with signal processing, linear algebra, pattern recognition, and other related areas will find the book easier to read. The book is meant to be largely self-contained and suitable for students in the disciplines of electrical and computer engineering, computer science, mathematics, physics, and related disciplines. While the primary objective of the text is to provide a teaching tool, practicing engineers and scientists are likely to find the clear, concept-based treatment useful in updating their backgrounds.
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