Artificial neural architecture for real time modelling applications

Author

Petriu, E.M. ; Guergachi, A. ; Patry, G.G. ; Zhao, L. ; Petriu, D.C. ; Vukovich, G.

Author_Institution

Fac. of Eng., Ottawa Univ., Ont., Canada

fYear

1997

fDate

10-12 Dec 1997

Firstpage

639

Lastpage

650

Abstract

This paper presents the random-pulse machine concept and shows how it can be used for the modular design of artificial neural networks. Random-pulse machines deal with analog variables represented by the mean rate of random-pulse streams and use simple digital technology to perform arithmetic and logic operations. As an application example, a NN is proposed for modeling of the activated sludge wastewater treatment plants

Keywords

chemical engineering computing; digital simulation; feedforward neural nets; multilayer perceptrons; neural net architecture; parallel architectures; real-time systems; simulation; water treatment; activated sludge wastewater treatment plants; analog variables; arithmetic; artificial neural architecture; digital technology; feedforward neural network; logic operations; modular design; neural network design; random-pulse machine; real time modelling applications; Artificial neural networks; Data processing; Digital arithmetic; Logic; Neural network hardware; Neural networks; Quantization; Random sequences; Space technology; Virtual reality;

fLanguage

English

Publisher

ieee

Conference_Titel

Algorithms and Architectures for Parallel Processing, 1997. ICAPP 97., 1997 3rd International Conference on

Conference_Location

Melbourne, Vic.

Print_ISBN

0-7803-4229-1

Type

conf

DOI

10.1109/ICAPP.1997.651529

Filename

651529