Accession Number : ADA193827
Title : Analysis of the Hopfield Neural Networks and Their Application to Pattern Recognition.
Descriptive Note : Master's thesis,
Corporate Author : ILLINOIS UNIV AT URBANA DEPT OF ELECTRICAL AND COMPUTER ENGINEERING
Personal Author(s) : Gerasimas, Bernard F , Jr
PDF Url : ADA193827
Report Date : Jan 1988
Pagination or Media Count : 68
Abstract : This three-part discussion provides the necessary background in understanding the make-up and operation of the generalized biological neuron and its role in memory and pattern recognition in the brain. There are many specific types of neurons which have adapted to perform specialized operations as part of the central nervous system. Motor neurons deal with the operation of the muscles; optical neurons deal with the operations of the eyes. Although there are differences in physical make-up, their basic operation is similiar and is known as the generalized biological neuron. The physical structure and operation of this neuron will be examined. A brief discussion will follow on how the inter-connection and paralleled structure of neural networks in the optical system and cortex of the brain are able to send, store, and recall information dealing with pattern recognition. This will be followed by a brief discussion of the first mathematical model developed of the generalized biological model. Its make-up is the building block for the vast majority of neural network models which followed. Keywords: Computerized simulation.
Descriptors : *MOTOR NEURONS, *NEURAL NETS, *PATTERN RECOGNITION, BIOLOGY, BRAIN, CENTRAL NERVOUS SYSTEM, COMPUTERIZED SIMULATION, EYE, MATHEMATICAL MODELS, MUSCLES, NERVE CELLS, OPTICAL EQUIPMENT, OPTICAL PROPERTIES, PHYSICAL PROPERTIES, RECALL, FORTRAN, DIGITAL COMPUTERS
Subject Categories : Anatomy and Physiology
Distribution Statement : APPROVED FOR PUBLIC RELEASE