Title :
A parallel simulator to build distributed neural algorithms
Author_Institution :
INRIA, INRIA, Vandoeuvre-les-Nancy, France
Abstract :
The aim of the paper is to present a parallel simulator that allows one to use distributed algorithm to develop artificial neural networks. We developed an efficient parallel simulator to implement artificial neural networks. This simulator makes use of the parallel properties of connectionist models to make an efficient parallel implementation onto general purpose shared memory MIMD computers. Therefore, this simulator naturally leads to build (learning and generalising) neural algorithms that respect the large natural parallel aspects of these models
Keywords :
distributed programming; generalisation (artificial intelligence); learning (artificial intelligence); neural nets; parallel algorithms; simulation; connectionist models; distributed neural algorithms; generalisation; learning; neural networks; parallel simulator; shared memory MIMD computers; Artificial neural networks; Biological system modeling; Biology computing; Brain modeling; Computational modeling; Computer networks; Computer simulation; Concurrent computing; Neurons; Parallel processing;
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7044-9
DOI :
10.1109/IJCNN.2001.938742
