Computer Based Training on Neural Nets: Basics, Development, and Practice

Product 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. From the Back Cover Computer Based Training on Neural Nets is an interactive introduction to neural nets and how to apply them. The learning program is easy to understand and use, and numerous multimedia and interactive components give it an almost game-like feel. The learner is taken step by step from the basics to the use of neural nets for real projects, and the examples illustrate practical applications of neural nets in business management. System requirements:486 DX2/66 minimum (pentium recommended), 8 MB RAM (16 MB RAM recommended), SVGA graphics card with 1 MB RAM, 256 colors (32K colors recommended), 640x480 resolution, 20--40 MB hard drive space (depending on installation type), CD-ROM drive (x2 speed minimum), MS-compatible mouse, Windows 3.1x or Windows 95. About the Author Professor Richard Lackes has held the Chair of Business Informatics at the University of Dortmund since 1994.