
Computer Based Training on Neural Nets
Basics, Development, and Practice
Springer (Publisher)
Published on 16. December 1997
Software
CD-ROM
50 pages
978-3-540-14660-5 (ISBN)
Description
Here 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.
More details
Language
English
Place of publication
Heidelberg
Germany
Publishing group
Springer Berlin
Target group
College/higher education
Professional and scholarly
Illustrations
biography
Weight
180 gr
ISBN-13
978-3-540-14660-5 (9783540146605)
Schweitzer Classification
Content
I. 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.