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ABSTRACT
<p>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.</p>
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CITATION

G. Danese, F. Leporati and S. Ramat, "A Parallel Neural Processor for Real-Time Applications," in IEEE Micro, vol. 22, no. , pp. 20-31, 2002.
doi:10.1109/MM.2002.1013301
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