Title :
Development of a flexible object-oriented artificial neural network simulator
Author :
Mehrotra, Prashant ; Venkatesan, R. ; Quaicoe, John E.
Author_Institution :
Fac. of Eng. & Appl. Sci., Memorial Univ. of Newfoundland, St. John´´s, Nfld., Canada
Abstract :
This paper discusses a new neural network simulator which has been developed using object-oriented design techniques and a hierarchical approach. A unique feature of the simulator is that it allows virtually any network configuration to be constructed, and new types of neurons and training methods to be developed
Keywords :
learning (artificial intelligence); network topology; neural nets; object-oriented methods; virtual machines; connections; learning rule; network topology; neural network simulator; object-oriented design; Artificial neural networks; Biological neural networks; Brain modeling; Design engineering; Multi-layer neural network; Network topology; Neurons; Object oriented modeling; Programming profession; Software design;
Conference_Titel :
Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on
Conference_Location :
St. Johns, Nfld.
Print_ISBN :
0-7803-3716-6
DOI :
10.1109/CCECE.1997.614853
