|
|||||
|
|
| 人工神经网络在多元非线性方程组中的应用 | |
| 引用本文： | 周保平,戚国强,肖涛,钮志勇.人工神经网络在多元非线性方程组中的应用[J].农机化研究,2004(2):115-116. |
| 作者姓名： | 周保平 戚国强 肖涛 钮志勇 |
| 作者单位： | 1. 塔里木农垦大学,文理学院,新疆,阿拉尔,843300;东北农业大学,黑龙江,哈尔滨150030 2. 东北农业大学,黑龙江,哈尔滨,150030 3. 塔里木农垦大学,文理学院,新疆,阿拉尔,843300 |
| 摘 要： | 通过阐述人工智能神经网络逼近性理论，得知用人工神经网络可逼近任意给定的连续函数，并通过计算机对一些非线性函数进行模拟。验证了这种方法的可行性，同时给出用人工智能神经网络求多元非线性方程组解的原理。 |
| 关 键 词： | 人工智能神经网络 多元非线性方程组 非线性函数 计算机 模拟 |
| 文章编号： | 1003-188X(2004)02-0115-02 |
| 修稿时间： | 2003年12月9日 |
On Application of Solving Nonlinear Multivariable Equation Systems by Neural Networks |
|
| ZHOU Bao-ping,QI Guo-qiang,XIAO Tao,NIU Zhi-yong.On Application of Solving Nonlinear Multivariable Equation Systems by Neural Networks[J].Journal of Agricultural Mechanization Research,2004(2):115-116. | |
| Authors: | ZHOU Bao-ping QI Guo-qiang XIAO Tao NIU Zhi-yong |
| Institution: | ZHOU Bao-ping1,2,QI Guo-qiang2,XIAO Tao1,NIU Zhi-yong2 |
| Abstract: | The former theory of artificial neural networks approximation is concluded this paper. An arbitrary continuous function can be approximated by using artificial neural net work. Making use of computers, nonlinear function can be simulated. Examples and results demonstrate that the effectiveness of this method is good. In addition, solving nonlinear multivariable equation systems are given by artificial neural networks . |
| Keywords: | computer application neural networks research design approximation nonlinear function |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |