非线性突触输入多层神经网络反向传播误差算法的综合

2018 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech) Pub Date : 2018-10-01 DOI:10.1109/EEXPOLYTECH.2018.8564433

Z. Musakulova, E. Mirkin, E. Savchenko

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引用次数: 9

摘要

研究了反向传播误差算法在具有非线性输入神经元的双层神经网络学习中的应用。该算法用于解决异或问题。给出了建模结果。

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Synthesis of the Backpropagation Error Algorithm for a Multilayer Neural Network with Nonlinear Synaptic Inputs

The application of the backpropagation error algorithm for learning a two-layer neural network using neurons with nonlinear inputs is considered. The proposed algorithm is used to solve the XOR problem. The results of modeling are presented.

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来源期刊

2018 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech)

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