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

机译：具有非线性突触输入的多层神经网络的背展交误差算法的合成

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摘要

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.

机译：考虑了使用非线性输入学习双层神经网络学习的反向衰减算法的应用。所提出的算法用于解决XOR问题。提出了建模结果。

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《IEEE International Conference on Electrical Engineering and Photonics》|2018年|297p|共5页
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Zhyldyz Musakulova; Eugeniy Mirkin; Elena Savchenko;
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中图分类 TM1-53;
关键词
Neurons; Training; Biological neural networks; Mathematical model; Signal processing algorithms; Backpropagation;

机译：神经元;培训;生物神经网络;数学模型;信号处理算法;BackProjagation;

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4. Synthesis of the Backpropagation Error Algorithm for a Multilayer Neural Network with Nonlinear Synaptic Inputs [C] . Zhyldyz Musakulova, Eugeniy Mirkin, Elena Savchenko IEEE International Conference on Electrical Engineering and Photonics . 2018

机译：具有非线性突触输入的多层神经网络的反向传播误差算法的综合
5. Recap antenna synthesis and optimization using backpropagation and radial-basis function artificial neural networks. [D] . Langoni, Diego. 2014

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6. An Approximation of the Error Backpropagation Algorithm in aPredictive Coding Network with Local Hebbian Synaptic Plasticity [O] . James C. R. Whittington, Rafal Bogacz -1

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7. A Comparison of the Backpropagation and Recursive Prediction Error Algorithms for Training Neural Networks. [O] . Billings, S.A., Jamaluddin, H.D., Chen, S. 1991

机译：神经网络训练的反向传播与递推预测误差算法比较。

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

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