DocumentCode :
2895837
Title :
A parallel neurochip for neural networks implementing the reactive tabu search algorithm: application case studies
Author :
Danese, G. ; De Lotto, I. ; Leporati, F. ; Quaglini, A. ; Ramat, S. ; Tecchioili, G.
Author_Institution :
Dipartimento di Inf. e Sistemistica, Pavia Univ., Italy
fYear :
2001
fDate :
2001
Firstpage :
273
Lastpage :
280
Abstract :
In this work we present two different applications implemented on the neurocomputer Totem Nc3001 from Neuricam Inc. The goal of the experimentation is to test, on real problems, the performance of this powerful parallel unit consisting of 32 Digital Signal Processors (DSPs) and to evaluate its suitability to neural network applications. The first problem implemented is a typical classification algorithm in which the network recognises which points belong to different regions inside a 2D space. The second problem is more computationally heavy and consists of a network able to reproduce the eye movements, if properly stimulated. A comparison is reported between Matlab implementations or handwritten code run on workstations and the performance obtained from the Totem chip
Keywords :
neural chips; search problems; Totem Nc3001; neural network applications; neural networks; neurocomputer; parallel neurochip; reactive tabu search; Artificial neural networks; Circuit simulation; Computational modeling; Digital signal processing; Digital signal processors; Mathematical model; Multilayer perceptrons; Neural networks; Signal processing algorithms; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing, 2001. Proceedings. Ninth Euromicro Workshop on
Conference_Location :
Mantova
Print_ISBN :
0-7695-0987-8
Type :
conf
DOI :
10.1109/EMPDP.2001.905053
Filename :
905053
Link To Document :
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