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| 引用本文： | 王宇谱,吕志平.С?????????????????о?[J].大地测量与地球动力学,2012,32(1):127-131. |
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| 作者姓名： | 王宇谱 吕志平 |
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| 作者单位： | 解放军信息工程大学测绘学院,郑州,450052 |
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| 摘 要： | ???BP??????????????С???????????BP?????缤????????BP????????????????????????????????С???????磬??Ч?????????????????????????????????????????????????????????Ч????
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| 关 键 词： | ?????? С???????? BP?????? ??? С???????? |
RESEARCH ON ALGORITH OF WAVELET NEURAL NETWORK FOR FORECASTING LENGTH OF DAY |
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| Wang Yupu
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Lü Zhiping.RESEARCH ON ALGORITH OF WAVELET NEURAL NETWORK FOR FORECASTING LENGTH OF DAY[J].Journal of Geodesy and Geodynamics,2012,32(1):127-131. |
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| Authors: | Wang Yupu Lü Zhiping |
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| Institution: | Wang Yupu and Lü Zhiping (Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052) |
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| Abstract: | Artificial neural networks(BP network,i.e.Back-Propagation network) can be used to forecast the Length of Day(LOD) for its advantage of parallel disposal data and strong non-linear mapping ability,but it can be easily affected by local minimum and resulting in slow convergence speed.Aiming at the shortage of the BP neural network,the wavelet basis function is used instead of the activation function of the BP neural network to improve its weight and threshold,then come into being optimized wavelet neural network which could effectually avoid local minimum and has swift convergence speed.As it is used to forecast LOD,good effects have been achieved. |
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| Keywords: | LOD(Length of Day) forecast wavelet neural network BP neural network denoising wavelet basis function |
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