| 引用本文： |
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蒋群华,周永权.基于二重积分定义的神经网络求解数值积分模型及学习算法[J].广西科学,2008,15(3):278-281. [点击复制]
- JIANG Qun-hua,ZHOU Yong-quan.The Model and Algorithm for Solving Numerical Integration Based on Double Integral Definition Neural Network[J].Guangxi Sciences,2008,15(3):278-281. [点击复制]
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| 摘要: |
| 根据二重积分的定义和一般网络的拓扑结构特点,提出求解二重积分的神经网络模型和学习算法,并进行算法收敛性分析和算例验证.该算法收敛并且比传统的数值积分方法的计算精度高、收敛速度快. |
| 关键词: 神经网络 二重积分 数值积分 收敛性 |
| DOI： |
| 投稿时间：2007-11-14修订日期：2007-12-24 |
| 基金项目:国家自然科学基金项目(60461001);广西自然科学基金项目(0542048);广西民族大学重大项目资助 |
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| The Model and Algorithm for Solving Numerical Integration Based on Double Integral Definition Neural Network |
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JIANG Qun-hua, ZHOU Yong-quan
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| (College of Mathematics and Computer Science, Guangxi University for Nationalities, Nanning, Guangxi, 530006, China) |
| Abstract: |
| According to the double integral definition and the characteristic of common network topology, a network model and algorithm is proposed for the double integration in this paper, and the convergence is analyzed.Simulated result of the example indicates that the method has higher accuracy and faster convergence rate than the traditional methods for the double integration. |
| Key words: neural network double integral numerical integration convergence |
