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用matlab编写的CART数据挖掘决策树算法-using Matlab CART prepared by the Data Mining Decision Tree Algorithm
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这是一个分类和回归树算法，它提供一种通用框架将各种各样不同的判定树实例化。-This is a classification and regression tree algorithm, which provides a common framework a wide variety of different decision tree instantiation.
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决策树ID3算法的MATLAB程序，这里采用信息增益的方法.-MATLAB program of Decision Tree Algorithm ID3，by the information gain.
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几种基于Matlab的分类算法研究（自组织神经网络，SOM神经网络，LVQ神经网络，决策树，随机森林算法）-Several classification algorithm based on Matlab research (self-organizing neural network, SOM neural network and LVQ neural network, decision tree, the random forest algorithm)
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数据处理中经常使用决策树算法，在MATLAB中编辑决策树算法(Decision tree algorithm is often used in data processing, and the decision tree algorithm is edited in MATLAB)
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本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and relate
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