Searching for risk factors using multilayer neural network as a classifier.

H Xue, N Tatsumi, K Park, M Shimizu, T Kyojima, Y Sumiya, S Kawabata, N Maeda, D Sakano
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引用次数: 2

Abstract

A method to determine risk factors for particular outcomes using trained multilayer neural networks is proposed. The basic idea is to measure the partial differentials of the output with respect to input variables of the network. Differentiable activation functions and continuity of input variables is assumed.

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利用多层神经网络作为分类器搜索危险因素。
提出了一种利用训练好的多层神经网络确定特定结果的风险因素的方法。基本思想是测量输出相对于网络输入变量的偏微分。假设激活函数可微且输入变量连续。
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