|
![]() |
|||
|
||||
OverviewHere is an interactive introduction to neural nets and how to apply them that is easy to understand and use. Neural nets are information processing systems that mimic the basic structure of the human brain. They learn by adjusting the interaction of their individual components (neurons). A neural net can learn from patterns of information supplied as input to generate useful output that can serve as a basis for decision making. Numerous multimedia and interactive components give the learning program an almost game-like feel as it takes the learner from the basics to the use of neural nets for real projects. Full Product DetailsAuthor: Richard Lackes , Dagmar MackPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Dimensions: Width: 18.30cm , Height: 1.30cm , Length: 23.70cm Weight: 0.180kg ISBN: 9783540146605ISBN 10: 3540146601 Pages: 50 Publication Date: 16 December 1997 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: CD-ROM Publisher's Status: Active Availability: Out of stock ![]() The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsI. History of Neural Nets.- Pioneers, Breakthroughs and Setbacks of Neural Nets over the Years.- II. Basic Elements of Neural Nets.- Feedforward Neural Nets - The Perceptron.- Backpropagation.- Hopfield Nets.- III. The Way Neural Nets Work.- Interactive Neural Network.- Testing and Decision Problems.- IV. Main Net Topolgies.- V. Applications of Neural Nets.- Staff Employment Planning.- Material Requirement Planning.- Credit Scoring.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |