| BPSA混合策略在GPS高程拟合中的应用 |
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| 引用本文： | 范千,王新洲,朱轶群.BPSA混合策略在GPS高程拟合中的应用[J].测绘工程,2006,15(2):9-11. |
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| 作者姓名： | 范千 王新洲 朱轶群 |
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| 作者单位： | 武汉大学,灾害监测与防治研究中心,湖北,武汉,430079;武汉大学,灾害监测与防治研究中心,湖北,武汉,430079;武汉大学,灾害监测与防治研究中心,湖北,武汉,430079 |
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| 摘 要： | 针对误差反向传播(BP)算法训练速度慢和易于陷入局部最小值的缺点,利用BP算法监督学习特点,模拟退火算法(SA)在局部极小处的概率突变性,有效结合BP和SA算法,提出一种BPSA混合学习策略。将其应用于GPS高程拟合,并以实例验证了该算法的有效性。
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| 关 键 词： | BP算法 模拟退火算法 BPSA混合策略 GPS高程拟合 |
| 文章编号： | 1006-7949（2006）02-0009-03 |
| 收稿时间： | 2005-11-16 |
| 修稿时间： | 2005-11-16 |
Application of BPSA hybrid strategy in GPS height fitting |
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| FAN Qian,WANG Xin-zhou,ZHU Yi-Qun.Application of BPSA hybrid strategy in GPS height fitting[J].Engineering of Surveying and Mapping,2006,15(2):9-11. |
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| Authors: | FAN Qian WANG Xin-zhou ZHU Yi-Qun |
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| Institution: | Hazard Monitoring and Prevention Research Center, Wuhan Uninversity, Wuhan 430079, China |
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| Abstract: | As the error back propagation(BP) algorithm provides a slow training and is easy to fall into local extremum,a hybrid strategy named BPSA which combines the surpervising learning property of BP with the probabilistic jumping property of simulated annealing(SA) algorithm is presented.It is applied to the GPS height fitting.A practical sample is set to justify its availability. |
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| Keywords: | BP algorithm simulated annealing algorithm BPSA hybrid strategy GPS height fitting |
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