| 用遗传BP网络求高聚物的ZWT非线性粘弹方程的力学参数 |
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| 引用本文： | 舒雅琴,曾锦光,徐圣进.用遗传BP网络求高聚物的ZWT非线性粘弹方程的力学参数[J].宁波大学学报(理工版),2002,15(1):27-31. |
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| 作者姓名： | 舒雅琴 曾锦光 徐圣进 |
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| 作者单位： | 宁波大学,商学院,浙江,宁波,315211 |
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| 摘 要： | 结合遗传算法及BP神经网络的特点，构建了一个新的有机体-遗传BP网络，并对遗传BP网络进行了测试。结果表明遗传BP网络在收敛速度及收敛稳定性方面都有很好的效果。最后给出了一个用遗传BP网络求高聚物的ZWT方程的力学参数的实例。
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| 关 键 词： | BP网络 高聚物 非线性粘弹方程 力学参数 ZWT方程 |
| 文章编号： | 1001-5132(2002)01-0027-05 |
| 修稿时间： | 2001年9月7日 |
Solution to the Mechanical Parameters of ZWT Nonlinear Viscoelastic Equation of High Polymer by a Genetic-BP-based Neural Net |
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| SHU Ya qin,ZENG Jin guang,XU Sheng jin.Solution to the Mechanical Parameters of ZWT Nonlinear Viscoelastic Equation of High Polymer by a Genetic-BP-based Neural Net[J].Journal of Ningbo University(Natural Science and Engineering Edition),2002,15(1):27-31. |
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| Authors: | SHU Ya qin ZENG Jin guang XU Sheng jin |
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| Abstract: | The new organism called Genetic BP based neural net is established, which integrates Genetic algorithm with BP neural net. To compare the performance of the Genetic BP based neural net with the traditional BP neural net, a test is carried out. It is shown that the performance of the Genetic BP based neural net in speed of convergence and stability of convergence is very good. An application of Genetic BP based neural net to solve the mechanical parameters of ZWT nonlinear viscoelastic equation of high polymer is conducted. |
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| Keywords: | BP neural net Genetic algorithm hot zone high polymer mechanical parameter |
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