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Accession Number:
AD0670845
Title:
THE INFLUENCE OF NETWORK STRUCTURE ON THE PERFORMANCE OF LEARNING SYSTEMS,
Corporate Author:
BELL AEROSPACE CORP BUFFALO N Y
Report Date:
1967-10-31
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 AD 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
Pages:
0092
Contract Number:
AF 49(638)-1627
File Size:
0.00MB
