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A Parallel Neural Processor for Real-Time Applications
May/June 2002 (vol. 22 no. 3)
pp. 20-31

Training and testing artificial neural networks can be challenging and time-consuming. experiments with two real-time applications compared three approaches for implementing a multilayer perceptron neural network. In both applications, the special-purpose processor performed best.

Citation:
Giovanni Danese, Francesco Leporati, Stefano Ramat, "A Parallel Neural Processor for Real-Time Applications," IEEE Micro, vol. 22, no. 3, pp. 20-31, May-June 2002, doi:10.1109/MM.2002.1013301
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