A micropopulation model adaptation for neural network studies

Author

Ackerman, Eugene ; Kilis, Danny ; Hatfield, Gregory A.

Author_Institution

Minnesota Univ., Minneapolis, MN, USA

fYear

1989

fDate

9-12 Nov 1989

Firstpage

2029

Abstract

A discrete-time, micropopulation model called SUMMERS has been adapted to represent one of the neural network models proposed by K. Fukushima (see Biolog. Cybern., vol.50, p.105-13, 1984). Such specializations of SUMMERS allow for ease of model modification and extension, while sharing most of the Fortran coding with a group of micropopulation models used in epidemiological studies of chronic and infectious diseases. The neural network model. COGNET, can duplicate the features of the primarily deterministic Fukushima model and also can incorporate stochastic elements processed using Monte Carlo techniques. It is planned to use COGNET to test new features that would be based on neuroanatomic and physiological information

Keywords

Monte Carlo methods; medical computing; neural nets; physiological models; stochastic processes; COGNET; Fortran coding; Monte Carlo techniques; SUMMERS; chronic diseases; deterministic Fukushima model; discrete time micropopulation model; epidemiological studies; infectious diseases; neural network models; neuroanatomic information; physiological information; stochastic elements; Adaptation model; Biological system modeling; Difference equations; Diseases; Libraries; Monte Carlo methods; Neural networks; Stochastic processes; Testing; Voice mail;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in

Conference_Location

Seattle, WA

Type

conf

DOI

10.1109/IEMBS.1989.96579

Filename

96579