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Linear polynomial model generation system, method and program for multilayer neural network

机译:多层神经网络的线性多项式模型生成系统,方法和程序

摘要

Problem to be solved: to provide a system, a method and a program for generating a linear polynomial model capable of scoring the contribution degree of an input data item used for making a model based on a model created by a multilayer neural network.A linear polynomial model is constructed by a contribution degree computing unit 140 which calculates the contribution degree for each input item based on the coupling weights between nodes in each layer constituting a multilayer neural network, and linear polynomials generating linear polynomials based on the calculated contribution degree The generation unit 180 includes a generation unit 180.Diagram
机译:要解决的问题:提供一种用于生成线性多项式模型的系统,方法和程序,所述线性多项式模型能够基于由多层神经网络创建的模型来对用于制作模型的输入数据项的贡献度进行评分。线性多项式模型由贡献度计算单元140构建,该贡献度计算单元140基于构成多层神经网络的每一层中的节点之间的耦合权重来计算每个输入项的贡献度,并且基于所计算的贡献度来生成线性多项式的线性多项式生成单元180包括生成单元180。图表

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