Accession Number : ADD018425

Title :   Hybrid Neural Network for Pattern Recognition.

Descriptive Note : Patent Application, Filed 3 Feb 97,

Corporate Author : DEPARTMENT OF THE NAVY WASHINGTON DC

Personal Author(s) : Nguyen, Chung T

PDF Url : ADD018425

Report Date : 03 Feb 1997

Pagination or Media Count : 17

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.

Descriptors :   *NEURAL NETS, *PATENT APPLICATIONS, *PATTERN RECOGNITION, ALGORITHMS, DATA PROCESSING, INPUT, OUTPUT, COMPETITION, DECISION MAKING, LAYERS, TOPOLOGY, CLASSIFICATION, DATA ACQUISITION, PATTERNS, HYBRID SYSTEMS, EXTRACTION, LEARNING, PREPROCESSING

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE