大地测量与地球动力学2012，Vol.32Issue(1)：127-131,5.
小波神经网络日长预报算法研究
RESEARCH ON ALGORITH OF WAVELET NEURAL NETWORK FOR FORECASTING LENGTH OF DAY
摘要
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.关键词
日长预报/小波神经网络/BP神经网络/去噪/小波基函数Key words
LOD(Length of Day) forecast/ wavelet neural network/ BP neural network/ denoising/ wavelet basis function分类
天文与地球科学引用本文复制引用
王宇谱,吕志平..小波神经网络日长预报算法研究[J].大地测量与地球动力学,2012,32(1):127-131,5.基金项目
国家自然科学基金(40874008) （40874008）
