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processing and computer simulation of a neural network structure for this neural network structure

机译:该神经网络结构的神经网络结构的处理和计算机仿真

摘要

The invention relates to a method of calculating norms, implemented in a neural network structure or a processor. This enables the norm of the new synaptic coefficients to be determined without requiring explicit calculation thereof. For this purpose, the structure comprises a processing unit (10) which determines output potentials yk and increments DELTA k, a unit (13) for storing the old and new norms, and a unit (15) for calculating the new norms. The latter are thus determined rapidly without requiring the calling up of the synaptic coefficients in memory. The method can be used with certain algorithms which require a calculation of norms. Application: neural networks. IMAGE
机译:本发明涉及在神经网络结构或处理器中实现的计算规范的方法。这使得能够确定新的突触系数的范数而无需对其进行明确的计算。为此,该结构包括确定输出电势yk和增量Δk的处理单元(10),用于存储旧规范和新规范的单元(13)以及用于计算新规范的单元(15)。因此可以快速确定后者,而无需调用存储器中的突触系数。该方法可以与某些需要计算范数的算法一起使用。应用:神经网络。 <图像>

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