Hybrid Neural Network for Pattern Recognition.
Abstract
A system for recognizing patterns comprises a first stage for extracting features from inputted patterns and for providing topological representations of the characteristics of the inputted patterns and a second stage for classifying and recognizing the inputted patterns. The first stage comprises two one-layer neural networks and the second stage comprises a feedforward two-layer neural network. A method for recognizing patterns is also described, which method broadly comprises the steps of providing first and second neural networks, each having an input layer formed by a plurality of input neurons and an output layer formed by a plurality of output neurons, supplying signals representative of a set of inputted patterns to the input layers of the first and second neural networks, training the first and second neural networks using a competitive learning algorithm, and generating topological representations of the input patterns using the first and second neural networks. The method further comprises providing a third neural network for classifying and recognizing the inputted patterns and training the third neural network with a back-propagation algorithm so that the third neural network recognizes at least one interested pattern.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 03, 1997
- Accession Number
- ADD018425
Entities
People
- Chung T. Nguyen
Organizations
- United States Department of the Navy