Title :
Parallel digital implementations of neural networks
Author :
Przytula, K. Wojtek
Abstract :
The paper reviews implementations of neural networks on parallel digital machines. The connectionist neural networks models are discussed from the point of view of their computational characteristics. The levels of parallelism available in the models and the factors affecting their performance of the models on the parallel machines are presented. Several mapping methodologies applicable to neural networks are described. Selected examples of implementations of neural networks on parallel digital machines are provided
Keywords :
artificial intelligence; neural nets; parallel architectures; computational characteristics; connectionist neural networks models; mapping methodologies; neural networks; parallel digital implementation; performance; Artificial neural networks; Biological system modeling; Computer networks; Fasteners; Laboratories; Multi-layer neural network; Neural networks; Neurons; Parallel processing; Throughput;
Conference_Titel :
Application Specific Array Processors, 1991. Proceedings of the International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-8186-9237-5
DOI :
10.1109/ASAP.1991.238886
