Description: 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 series analysis, the use of neural network classification dimensionality reduction and many other examples. Platform: |
Size: 147456 |
Author:锋 |
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Description: 小波神经网络的分类识别，学习率因子，网络动量项因子，网络多分辨级数，网络平移参数 都可自己选。本例输入节点5，输出5。可识别五种信号。-wavelet neural network classification, the learning rate factor, network momentum contribution factor, network multiresolution series. Translation network parameters can be of his own choosing. The five cases input nodes, output 5. Five identifiable signal. Platform: |
Size: 4096 |
Author:谢灵心 |
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Description: 一个可以运行的som神经网络程序，可以任意输入输入和输出向量数。用于分类和测试-one can run the som neural network program, which could be imported input and output vectors of a few. For the classification and testing Platform: |
Size: 23552 |
Author:周君 |
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Description: 此为类神经网路分类，分类方式为Learning Bector Quantization 的C语言源码-this as a neural network classification, Learning classification Bector Quantization of the C language source code Platform: |
Size: 2048 |
Author:jack |
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Description: 类神经网路,创建LVQ网路对非线性可分离的问题进行分类-neural network, the creation of the Internet LVQ nonlinear separable issues of classification Platform: |
Size: 1024 |
Author:jack |
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Description: SOM神经网络分类程序，使用matlab编写-SOM neural network classification procedures, the use of matlab to prepare Platform: |
Size: 5120 |
Author:刘杰 |
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Description: 基于神经网路的遥感图像分类，使用神经网络对几幅不同频段的遥感图像分类，主要是区分图像中不同的地形区域。-Neural network-based remote sensing image classification, the use of neural networks on a number of different band remote sensing image classification, mainly to distinguish between images of different regions of the terrain. Platform: |
Size: 1244160 |
Author:xxl |
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Description: 模式识别学习综述.该论文的英文参考文献为303篇.很有可读价值.Abstract— Classical and recent results in statistical pattern
recognition and learning theory are reviewed in a two-class
pattern classification setting. This basic model best illustrates
intuition and analysis techniques while still containing the essential
features and serving as a prototype for many applications.
Topics discussed include nearest neighbor, kernel, and histogram
methods, Vapnik–Chervonenkis theory, and neural networks. The
presentation and the large (thogh nonexhaustive) list of references
is geared to provide a useful overview of this field for both
specialists and nonspecialists.-Summary of pattern recognition learning. The paper for English 303 references. Very readable value. Abstract-Classical and recent results in statistical patternrecognition and learning theory are reviewed in a two-classpattern classification setting. This basic model best illustratesintuition and analysis techniques while still containing the essentialfeatures and serving as a prototype for many applications.Topics discussed include nearest neighbor, kernel, and histogrammethods, Vapnik-Chervonenkis theory, and neural networks. Thepresentation and the large (thogh nonexhaustive) list of referencesis geared to provide a useful overview of this field for bothspecialists and nonspecialists. Platform: |
Size: 821248 |
Author:蒋大为 |
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Description: RBF神经网络matlab代码可以用于分类与回归-RBF neural network matlab code can be used for classification and regression Platform: |
Size: 3072 |
Author:贺宏洲 |
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Description: 统计模式识别、线性或非线性回归以及人工神经网络等方法是数据挖掘的有效工具，支持向量分类（support vector classification，简称SVC）算法是一个很有发展前景的方向。-Statistical pattern recognition, linear or nonlinear regression and artificial neural network approach is an effective tool for data mining, support vector classification (support vector classification, referred to as SVC) algorithm is a promising direction. Platform: |
Size: 10240 |
Author:xs |
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