Title :
A parallel neural processor for real-time applications
Author :
Danese, G. ; Leporati, F.
Author_Institution :
Pavia Univ.
Abstract :
Training and testing artificial neural networks can be challenging and time-consuming. Experiments with two real-time applications were performed to compare three approaches for implementing a multilayer perceptron neural network. In both applications, the special-purpose processor performed best
Keywords :
learning (artificial intelligence); multilayer perceptrons; neural nets; parallel processing; real-time systems; learning; multilayer perceptron; neural networks; parallel neural processor; real-time systems; Artificial neural networks; Circuit simulation; Computational modeling; Computer architecture; Computer networks; Concurrent computing; Hardware; Microcomputers; Multilayer perceptrons; Signal processing algorithms;
Journal_Title :
Micro, IEEE
DOI :
10.1109/MM.2002.1013301
