| GA-BP算法及其在冰铜品位神经网络模型中的应用 |
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| 引用本文： | 汪金良,卢宏,曾青云.GA-BP算法及其在冰铜品位神经网络模型中的应用[J].江西有色金属,2003,17(3):39-42. |
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| 作者姓名： | 汪金良 卢宏 曾青云 |
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| 作者单位： | 南方冶金学院 江西赣州341000
(汪金良，卢宏)，南方冶金学院 江西赣州341000(曾青云) |
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| 基金项目： | 江西省自然科学基金资助项目(编号 :0250026) |
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| 摘 要： | 分析了遗传算法(GA)和BP算法的优缺点，将GA算法与BP算法有机地结合，形成了遗传BP算法。对冰铜品位神经网络模型的训练和检验结果比较表明，该算法优于BP算法，是一种快速全局搜索算法。模型训练结果也说明了神经网络技术应用于铜闪速熔炼过程建模的可行性和有效性。
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| 关 键 词： | 神经网络 遗传算法 BP算法 |
| 文章编号： | 1005-2712(2003)03-0039-04 |
| 修稿时间： | 2003年5月8日 |
Application of GA-BP to the Matte Grade Model Based on Neural Network |
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| WANG Jin_liang,LU Hong,ZENG Qing_yun.Application of GA-BP to the Matte Grade Model Based on Neural Network[J].Jiangxi Nonferrous Metals,2003,17(3):39-42. |
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| Authors: | WANG Jin_liang LU Hong ZENG Qing_yun |
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| Abstract: | The advantages and disadvantages of Back Propagation Algorithm (BP) and Genetic Algorithm (GA) are analysed, combination of the two algorithms forms GA-BP. Compared the training and testing results of the matte grade neural network model with the GA-BP and BP respectively indicates that the GA-BP is superior to BP ,and it can search answer quickly in overall range. The training results also explains that nerual network technique is feasible and effective to the modeling for copper flash smelting process. |
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| Keywords: | neural network Genetic Algorithms Back Propagation Algorithm |
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