Expert System Design for Elastic Scattering Neutrons Optical Model using BPNN

Fadhil A. Ali
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Abstract

In present paper, a proposed expert system is designed to obtain a trained formulae for the optical model parameters used in elastic scattering neutrons of light nuclei for (Li), at energy range between [(1) to (20)] MeV. A simple algorithm has used to design this expert system, while a multi-layer backwardpropagation neural network (BPNN) is applied for training and testing the data used in this model. This group of formulae may get a simple expert system occurring from governing formulae model, and predicts the critical parameters usually resulted from the complicated computer coding methods. This expert system may use in nuclear reactions yields in both fission and fusion nature who gives more closely results to the real model.
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基于BPNN的弹性散射中子光学模型专家系统设计
本文设计了一个专家系统,用于获得能量范围在[(1)~ (20)]MeV的(Li)轻核弹性散射中子的光学模型参数的训练公式。该专家系统采用一种简单的算法进行设计,并采用多层反向传播神经网络(BPNN)对模型中的数据进行训练和测试。这组公式可以由控制公式模型得到一个简单的专家系统,并预测通常由复杂的计算机编码方法得到的关键参数。该专家系统可用于裂变和聚变性质的核反应,其结果与实际模型更为接近。
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International Journal of Computer Science and Applications
International Journal of Computer Science and Applications Computer Science-Computer Science Applications
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期刊介绍: IJCSA is an international forum for scientists and engineers involved in computer science and its applications to publish high quality and refereed papers. Papers reporting original research and innovative applications from all parts of the world are welcome. Papers for publication in the IJCSA are selected through rigorous peer review to ensure originality, timeliness, relevance, and readability.
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