Object-oriented and functional concepts in artificial neural network modelling

Author

Kock, Gerd ; Serbedzija, N.B.

Author_Institution

GMD FIRST, Berlin, Germany

Volume

1

fYear

1993

fDate

25-29 Oct. 1993

Firstpage

923

Abstract

We propose a strategy on how to specify artificial neural networks and outline a neural network description language supporting this strategy. Unit and network types are defined in an object-oriented manner. For the specifications of topologies we use structure relations which themselves are defined using functional concepts. The underlying model of this approach is an extension of the AXON model. To demonstrate the use of our description language a complete specification of a three-layer backpropagation model is presented.

Keywords

backpropagation; formal specification; hardware description languages; multilayer perceptrons; object-oriented methods; AXON model; artificial neural network modelling; description language; functional concepts; neural network description language; neural network specification; object-oriented methods; structure relations; three-layer backpropagation model; topology specification; Artificial neural networks; Backpropagation; Computer languages; Intelligent networks; Libraries; Logistics; Nerve fibers; Network topology; Object oriented modeling; Time of arrival estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on

Print_ISBN

0-7803-1421-2

Type

conf

DOI

10.1109/IJCNN.1993.714062

Filename

714062