首页> 外国专利> Hardware enhancements to radial basis function with restricted coulomb energy learning and/or k-Nearest Neighbor based neural network classifiers

Hardware enhancements to radial basis function with restricted coulomb energy learning and/or k-Nearest Neighbor based neural network classifiers

机译:使用受限的库仑能量学习和/或基于k最近邻的神经网络分类器对径向基函数进行硬件增强

摘要

A nonlinear neuron classifier comprising a neuron array including a plurality of neuron chips each including a plurality of neurons of variable length and variable depth, the chips processing input vectors of variable length and variable depth that are input into the classifier for comparison against vectors stored in the classifier, wherein an NSP flag is set for a plurality of the neurons to indicate that only that plurality of neurons is to participate in the vector calculations. A virtual content addressable memory flag is set for certain of the neuron chips to enable functions including fast readout of data from the chips. Results of vector calculations are aggregated for fast readout for a host computer interfacing with the classifier.
机译:一种非线性神经元分类器,包括神经元阵列,该神经元阵列包括多个神经元芯片,每个神经元芯片包括可变长度和可变深度的多个神经元,该芯片处理输入到分类器中的可变长度和可变深度的输入向量,以便与存储在其中的向量进行比较分类器,其中为多个神经元设置NSP标志,以指示仅该多个神经元将参与向量计算。为某些神经元芯片设置虚拟内容可寻址存储标记,以启用包括从芯片快速读取数据在内的功能。向量计算的结果被汇总,以快速读取与分类器接口的主机。

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