VLSI内核神经算法

IEEE International Workshop on Cellular Neural Networks and their Applications Pub Date : 1990-12-16 DOI:10.1109/CNNA.1990.207524

U. Ramacher

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引用次数: 4

摘要

用通用目标函数对神经算法进行统一描述是实现软件和硬件经济设计的关键。与目标函数相对应的动态方程中存在的计算密集型算法串将由专用的VLSI电路执行。将细胞神经网络作为一种特例进行恢复，并推导出相应的通用学习规则。

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The VLSI kernel of neural algorithms

A unified description of neural algorithms by means of general objective functions is shown to be the key to economic design of software and hardware. The compute-intensive algorithmic strings present in the dynamical equations corresponding to an objective function are to be executed by dedicated VLSI circuits. Cellular neural networks are recovered as a special case, and a corresponding general learning rule is derived.<>

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IEEE International Workshop on Cellular Neural Networks and their Applications

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