LINEAR SEPARABILITY OF SIGNAL SPACE AS A BASIS FOR ADAPTIVE MECHANISMS.
Abstract
The report reviews the research results of the program entitled Linear Separability of Signal Space as a Basis for Adaptive Mechanisms. The major contributions of this program were two fold: (1) the notion of discriminant functions was employed in constructing a framework for organizing past and present knowledge into a basis for further theoretical research on trainable pattern classifying machines, and (2) some significant new results were obtained on trainable pattern classifying machines. The specific research efforts reported fall into the following categories: (1) investigation of the properties of various families of discriminant functions to be used by a pattern dichotomizer; (2) investigation of various network structures for the implementation of useful families of discriminant functions; and (3) investigation of various training rules to be used in selecting the appropriate discriminant function for a pattern dichotomizer. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 1964
- Accession Number
- AD0601849
Entities
People
- N. J. Nilsson
Organizations
- SRI International