面向硬件的细胞神经网络联想记忆算法

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI:10.1109/CNNA.2002.1035092

R. Perfetti, M. Salerno, G. Costantini

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引用次数: 0

摘要

提出了一种新的学习算法，用于在数字细胞神经网络上实现联想记忆。该算法可以很容易地在硬件上实现或在数字计算机上模拟，没有数值误差。这些吸引人的特点来自于连接权值的有限精度，自动考虑作为设计约束;此外，权重计算不需要乘法。

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Hardware-oriented algorithm for associative memories on cellular neural networks

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.

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Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications

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