THE INFLUENCE OF NETWORK STRUCTURE ON THE PERFORMANCE OF LEARNING SYSTEMS,
Abstract
The report summarizes research on means for improving the discrimination capability of linear single-gain layer networks. Improvements are considered via (a) nonlinear pre-processors, such as the A/D converter, the quantizer, and other encoders, the generation of functionals of the individual pattern components, and (b) cascading of these networks. All result essentially in introducing a nonlinear decision surface instead of the decision hyperplane as defined by a linear net. Significant improvements are obtainable that widen the application of such networks to practical problems. As an example, the modeling of an air cushion vehicle is discussed. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 31, 1967
- Accession Number
- AD0670845
Entities
People
- Frederic D. Powell
- James A. Cadzow
- Johannes G. Goerner
- Kenneth W. Drake
- Lester A. Gerhardt
Organizations
- Bell Aircraft Corporation