00000cmm a22000004i 4500 UP-1685594773862486019 Buklod 20230619090610.0 m | | ta 230519s1997 enk u eng d 9780203451519 (ebook) (iLib)UPBAG-00047322287 ML-1416eb LibTech Source Philippines, Inc. Php 28,113.75 Colle of Science Faculty DLC BAG rda eng ML-ebook Gurney, Kevin (Kevin N.) author. An introduction to neural networks Kevin Gurney. London Taylor & Francis Group [1997] 1 online resource (148 pages) illustrations text rdacontent computer rdamedia online resource rdacarrier Includes bibliographical references (pages 215-227) and index. Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps. The traditionally difficult topic of adaptive resonance theory is clarified within a hierarchical description of its operation. The book also includes several real-world examples to provide a concrete focus. This should enhance its appeal to those involved in the design, construction and management of networks in commercial environments and who wish to improve their understanding of network simulator packages. As a comprehensive and highly accessible introduction to one of the most important topics in cognitive and computer science, this volume should interest a wide range of readers, both students and professionals, in cognitive science, psychology, computer science and electrical engineering.--Publisher's website. Neural networks (Computer science) https://ebookcentral.proquest.com/lib/upbph/detail.action?docID=182103 Available for University of the Philippines Baguio via ProQuest Ebook Central. Click here to access (viewed 19 May 2023) FO UPBAG UPBAG-MAIN ML-ebook Electronic Resource