1Depr. of Electronic and Infomarion Engineering, University of PerugiA, Perugia, Italy
2Depr. of Elecrronic Engineering, University of Rome E2809C Tor VergataE2809D, Rome, Italy
Tóm tắt
We present a new learning algorithm used to implement associative memories on digital cellular neural networks. The algorithm can be easily implemented in hardware or simulated on a digital computer without numerical errors. These attractive features come from the finite precision of connection weights, automatically taken into account as a design constraint; moreover, no multiplication is needed for weight computation.