Proceedings of the International Conference
I W S S I P   2005
12th INTERNATIONAL WORKSHOP ON SYSTEMS, SIGNALS & IMAGE PROCESSING

22 - 24 September 2005, Chalkida Greece
 
(from Chapter 1: Invited Addresses and Tutorials on Signals, Coding, Systems and Intelligent Techniques)

 Full Citation and Abstract

0 Title: Implementation of opamps for teaching of electronic neural networks
  Author(s): Stylianos Halkiadis, Nikolaos Chasanagas
  Address: Department of Electrical Engineering, Technological Educational Institution of Chalkida, 34400 Psahna, Evia, Greece
shalk @ tee.gr, nchasanagas @ yahoo.com
  Reference: SSIP-SP1, 2005  pp. 427 - 431
  Abstract/
Summary
Laboratory experiments for neural networks usually comprised of software simulators, however participants of engineering courses have diverse background with variable software experience. To avoid learning burdening, engineering laboratory introduction of neural networks is essential. In most of the cases the introductory phase consists of theory, in form of handouts and notes. However hands-on experimental work, could be an added value in simulations study. This paper introduces a two-state hardware circuit consisting of two-processor units made of operational amplifiers (opamps). The system is also supplied with a simple threshhold logic in order to demonstrate the spatial and temporal summing behavior of neurons. The proposed model is comprehensive and easily applicable introducing students to basic knowledge of artificial intelligence.
 
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