Description: 该程序是用小波函数构建神经网络的源程序。用以分析心电信号、脑电信号等等。-that the procedure was used wavelet build neural networks of the source. For the analysis of ECG, EEG, etc.. Platform: |
Size: 1299 |
Author:沈进旗 |
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Description: 本程序是基于小波变换提取人脸特征,再利用神经网络来进行人脸识别的源码-this program is based on the wavelet transform to extract facial features, and then use neural networks for face recognition FOSS Platform: |
Size: 96132 |
Author:邓志国 |
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Description: 小波神经网络在脑电信号数据压缩与棘波识别中的应用-wavelet neural networks in EEG data compression with spikes Identification of Platform: |
Size: 246884 |
Author:刘廷 |
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Description: 该程序是用小波函数构建神经网络的源程序。用以分析心电信号、脑电信号等等。-that the procedure was used wavelet build neural networks of the source. For the analysis of ECG, EEG, etc.. Platform: |
Size: 1024 |
Author:沈进旗 |
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Description: 本程序是基于小波变换提取人脸特征,再利用神经网络来进行人脸识别的源码-this program is based on the wavelet transform to extract facial features, and then use neural networks for face recognition FOSS Platform: |
Size: 96256 |
Author:邓志国 |
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Description: 此为matlab教程范例,包括图像、小波分析、优化、神经网络、遗传算法及其他部分范例-This is an example of matlab tutorials, including images, wavelet analysis, optimization, neural networks, genetic algorithms and other parts of sample Platform: |
Size: 306176 |
Author:梓恒 |
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Description: a transmission line fault location model which is based on an Elman recurrent network
(ERN) has been presented for balanced and unbalanced short circuit faults. All fault situations with
different inception times are implemented on a 380-kV prototype power system. Wavelet transform
(WT) is used for selecting distinctive features about the faulty signals. The system has the advantages of
utilizing single-end measurements, using both voltage and current signals. ERN is able to determine the
fault location occurred on transmission line rapidly and correctly as an important alternative to standard
feedforward back propagation networks (FFNs) and radial basis functions (RBFs) neural networks. Platform: |
Size: 761856 |
Author:charlie |
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Description: 本书全面系统介绍了小波分析的基本理论和最新研究成果,重点介绍小波分析的应用成果,并通过软件实现来检验应用效果。全书分为三篇:第一篇是小波理论,包含8章内容,小波分析的发展历史及文献综述、准备知识、多分辨分析与共轭滤波器、连续小波变换、最佳小波基的构造及算法、二维母小波的构造、框架与样条小波理论、时间----频率分析;第二篇是小波应用,包含12章内容,详细介绍了小波分析在图象压缩、流体力学、工业CT、故障诊断、语音分割、数学物理、地球物理勘探、医学细胞识别、线性系统、神经网络等方面的应用;第三篇是小波软件,将第一篇和第二篇的重要算法用C语言实现,且全部在微机上调试通过,读者可直接应用或稍加修改即见成效。-This book systematically introduces the basic theory of wavelet analysis and the latest research results, focusing on the application of wavelet analysis results and applications through the software to test results. The book is divided into three: first is the wavelet theory, contains 8 chapters, the history of development of wavelet analysis and literature review, preparation of knowledge, multi-resolution analysis of the conjugate filter, continuous wavelet transform, the best wavelet algorithm for the construction and two-dimensional structure of the mother wavelet, frame and spline wavelet theory, time frequency analysis---- second is the wavelet applications, contains 12 chapters, detailing the wavelet analysis in image compression, fluid mechanics, industrial CT , fault diagnosis, speech segmentation, mathematical physics, geophysical exploration, medical cell recognition, linear systems, neural networks and other applications third is the wavelet software, the importance of t Platform: |
Size: 13684736 |
Author:辉 |
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Description: 主要是用于处理图像,小波分析,神经网络等一系matlab中最常用的一些技术-Mainly used for image processing, wavelet analysis, neural networks, a series of matlab in some of the most commonly used technique Platform: |
Size: 10240 |
Author:zhuang yuchuan |
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Description: 小波神经网络,可以用于对日径流进行预测,有助于了解小波分析与神经网络结合。-Wavelet neural networks can be used to predict daily runoff, help to understand wavelet analysis and neural networks. Platform: |
Size: 4096 |
Author:zhangzhenghao |
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Description: 有关神经网络的一些小程序,还有一些关于高阶统计量和小波变换的程序-Some small programs related to neural networks, there are some programs on higher-order statistics and wavelet transform Platform: |
Size: 321536 |
Author:何和新 |
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Description: 在径向基函数拟合、径向基函数神经网络和小波神经网络中的几种常用的基函数。包括高斯基函数、逆二次基函数、小波基函数等。-Several basis functions in radial basis function fitting, RBF neural network and wavelet neural networks. Including Gauss function, inverse quadratic basis functions, wavelet function and so on. Platform: |
Size: 2048 |
Author:寇家庆 |
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