搜索资源列表
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小波神经网络程序，收敛性比BP神经网络好，可用于分类，函数逼近等-wavelet neural network program, convergence than BP neural network, and can be used for classification, function approximation etc.
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基于matlab的网络设计利用神经网络进行分类识别-Matlab-based network design using neural network classification
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Neural Network in Finance (神经网络在金融界:赢得预言性的优势)全部原码。内容包括预测与估计，对时间数列的分析，利用神经网络进行降维和分级等很多例子。-Neural Network in Finance (neural networks in the financial sector : won prophetic edge) all the original code. Including forecasts and estimates, the time serie
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我收集的小波神经网络分类方法用于机器嗅觉识别的论文，本人觉得可供学习WNN的朋友参考-I collected wavelet neural network classification methods for machines olfactory identification papers, I think they can study WNN reference to a friend
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基于径向基函数的神经网络文本自动分类系统。,Based on Radial Basis Function neural network automatic text classification systems.
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神经网络30案例 案例1 BP神经网络的数据分类-语音特征信号分类-Cases of 30 cases of neural network BP neural network data classification- voice characteristic signal classification
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能够实现支持向量机的界面操作，支持向量机比神经网络功能强大，能够实现分类和识别-Support vector machine (SVM) to realize the interface operation, support vector machine (SVM) is a powerful than neural network, which can achieve the classification and recognition
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案例1 BP神经网络的数据分类-语音特征信号分类,The case of BP neural network data- voice characteristics signal classification
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SVM神经网络的数据分类预测——葡萄酒种类识别-SVM neural network data classification forecast- wine species identification
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是关于神经网络的数据分类预测的一个源代码，关于向量机的，采用径向基核函数-Neural network data classification forecast
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基于BP神经网络的非线性分类，及运用其解决异或问题，并对Iris数据进行分类-Nonlinear classification based on BP neural network and the xor problem, and its appplication on the data of Iris.
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BP神经网络用与实现不同故障的分类，对复杂信号模式识别是一种很有效的方法。-BP neural network with the classification of different faults and implementation of complex signal pattern recognition is a very effective method.
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the phonetic characteristics of BP neural network data classification
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Discrete Hopfield neural network classification
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该函数很好的实现了BP神经网络的分类任务。-This function is very good for BP neural network classification task.
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BP神经网络语言分类建模，可直接在MATLAB运行的源码-BP neural network classification modeling language, can run the source code directly in MATLAB
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对几种流行音乐音乐的特征值用BP神经网络进行识别分类并求其正确率，对初学者有用-Several popular music for the identification and classification feature values and for its accuracy BP neural network, useful for beginners
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基于BP网络的语言识别，选取民歌、古筝、摇滚和流行四类不同音乐，用BP神经网络实现对这四类音乐的有效分类。-Speech recognition based on BP network, songs, zither, four different types of rock and pop music, with BP neural network classification of these four types of music valid.
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本案例选取了民歌、古筝、摇滚和流行四类不同音乐，用BP神经网络实现对这四类音乐的有效分类。-In this case the folk songs, guzheng, four kind of different music, rock and pop using BP neural network to realize effective classification of the four types of music.
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使用遗传算法的神经网络分类，可以较好的实现(Neural network classification using genetic algorithms)
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