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基于小波神经网络的水文地质参数计算与应用分析 被引量:1
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作者 孙建华 《西部探矿工程》 CAS 2019年第12期101-104,108,共5页
在BP神经网络的基础上引入小波分析函数对其进行改进,并应用于邹庄煤矿某采区水文地质参数计算和疏放水降深预测,再将小波神经网络与其它传统计算方法对比,结果表明:小波神经网络在水文地质参数计算和水文地质分析时具有极强的优势。
关键词 BP神经网络 小波分析函数 水文地质参数计算 降深预测
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改进的BP神经网络模型在地下水预测中的应用研究 被引量:2
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作者 谢玉琴 《水利规划与设计》 2016年第7期45-47,67,共4页
针对传统BP神经网络模型局部较易收敛的缺点,引入小波分析函数对传统BP神经网络模型节点计算进行改进,并将改进的BP神经网络模型在新疆地区地下水预测中进行应用,研究结果表明:改进的BP神经网络模型可解决模型局部较易收敛问题,预测的... 针对传统BP神经网络模型局部较易收敛的缺点,引入小波分析函数对传统BP神经网络模型节点计算进行改进,并将改进的BP神经网络模型在新疆地区地下水预测中进行应用,研究结果表明:改进的BP神经网络模型可解决模型局部较易收敛问题,预测的地下水水位和实测的地下水水位更为接近,预测的地下水水位和实测水位之间的相关性年尺度达到0.85,高于传统BP神经网络模型的预测精度。 展开更多
关键词 改进的BP神经网络模型 小波分析函数 地下水位预测 新疆地区
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Correlation Wavelet and its Applications 被引量:3
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作者 徐长发 蔡超 +2 位作者 皮明红 朱春喜 李国宽 《Chinese Quarterly Journal of Mathematics》 CSCD 1999年第1期5-9, ,共5页
Many types of wavelets have been constructed for adapting to different applications. In this paper,we have got a new family of wavelets using the auto correlation functions of Daubechies wavelets,then discussed its so... Many types of wavelets have been constructed for adapting to different applications. In this paper,we have got a new family of wavelets using the auto correlation functions of Daubechies wavelets,then discussed its some properties and applications. 展开更多
关键词 WAVELET ANALYSIS
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Some Applications of E-wavelet Multipliers 被引量:2
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作者 LIDeng-feng CHENGJun-fang 《Chinese Quarterly Journal of Mathematics》 CSCD 2004年第3期292-299,共8页
Let E= .A measurable function v is called an E- waveletmultiplier if (vψ) is an E-wavelet whenever ψ is an E-wavelet. Some characterizations and applications of E-wavelet multiplier were considered in [1]. In this p... Let E= .A measurable function v is called an E- waveletmultiplier if (vψ) is an E-wavelet whenever ψ is an E-wavelet. Some characterizations and applications of E-wavelet multiplier were considered in [1]. In this paper, we give some other applications of E-wavelet multiplier, and prove that the set of all MRA E-wavelets is arcwise connected. 展开更多
关键词 WAVELET wavelet multiplier multiresolution analysis
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Wavelet Variance Analysis of EEG Based on Window Function 被引量:3
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作者 ZHENG Yuan-zhuang YOU Rong-yi 《Chinese Journal of Biomedical Engineering(English Edition)》 2014年第2期54-59,共6页
A new wavelet variance analysis method based on window function is proposed to investigate the dynamical features of electroencephalogram(EEG).The exprienmental results show that the wavelet energy of epileptic EEGs a... A new wavelet variance analysis method based on window function is proposed to investigate the dynamical features of electroencephalogram(EEG).The exprienmental results show that the wavelet energy of epileptic EEGs are more discrete than normal EEGs, and the variation of wavelet variance is different between epileptic and normal EEGs with the increase of time-window width. Furthermore, it is found that the wavelet subband entropy (WSE) of the epileptic EEGs are lower than the normal EEGs. 展开更多
关键词 wavelet variance EEG wavelet subband entropy (WSE) window function
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