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MODEL CALCULATION UNIT AND CONTROL DEVICE FOR CALCULATING A NEURON LAYER OF A MULTI-LAYERED PERCEPTRON MODEL

机译:计算多层感知器模型的神经元层的模型计算单元和控制装置

摘要

The invention relates to a model calculation unit for calculating a neuron layer of a multi-layered perceptron model, comprising a hardwired calculation core formed in hardware for calculating a fixedly preset computing algorithm in coupled functional blocks. The calculation core is designed to calculate an output variable for each neuron in a neuron layer of a multi-layered perceptron model having a number of neurons, depending on one or more input variables of an input variable vector, on a weighting matrix with weighting factors and an offset value predefined for each neuron. A sum of the values of the input variables, which are weighted with a weighting factor determined by the neuron and the input variable, and the offset value predefined for the neuron is calculated for each neuron, and the result is transformed with an activation function to obtain the output variable for the neuron.
机译:本发明涉及一种用于计算多层感知器模型的神经元层的模型计算单元,包括在硬件中形成的硬连线计算核心,用于在耦合功能块中计算固定预设的计算算法。计算核心设计为根据具有加权因子的加权矩阵,根据输入变量向量的一个或多个输入变量,计算具有多个神经元的多层感知器模型的神经元层中每个神经元的输出变量以及为每个神经元预定义的偏移值。为每个神经元计算输入变量的值之和,该值由神经元和输入变量确定的加权因子与神经元预定义的偏移值进行加权,然后将结果用激活函数转换为获得神经元的输出变量。

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