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FuzzyNNClassifier.rar
- 模糊K近邻分类器，模式识别和机器学习经常要使用的一个分类器,K neighbor fuzzy classifier, pattern recognition and machine learning are often used in a classifier
sfam
- 该程序实现了简单的模糊ARTMAP神经网络算法。SFAM是神经网络分类器，它是简单和快速的模糊ARTMAP版本。-The program implements a simple fuzzy ARTMAP neural network algorithm. SFAM is a neural network classifier, which is simple and fast version of fuzzy ARTMAP.
FuzzyClassifier
- A Fuzzy classifier using matlab, c++ and delphi. the source code has merged codes developed by these programming languages to do classification.
ARTMAP
- 该程序实现了简单的模糊ARTMAP神经网络算法。SFAM是神经网络分类器，它是简单和快速的模糊ARTMAP版本-The program implements a simple fuzzy ARTMAP neural network algorithm. SFAM is a neural network classifier, it is simple and fast version of fuzzy ARTMAP
fisher-and-Fuzzy-similarity
- 通过matlab语言实现Fisher分类和基于核Fisher分类的设计与实现研究和模糊相似关系直接用于分类，实现结果良好，可供大家使用，互相学习。-Fisher classifier matlab language and kernel Fisher classification-based design and realization of fuzzy similarity relations for the classification, to achieve good results fo
Multi-class-SVM-Image-Classification
- 基于神经网络的遥感图像分类取得了较好的效果,但存在固有的过学习、易陷入局部极小等缺点.支持向量机机器学习方法,根据结构风险最小化(SRM)原理,表现出很多优于其他传统方法的性能,本研究的基于多类支持向量机分类器的遥感图像分类取得了达95.4 的分类精度.但由于遥感图像分类类别多,所需训练样本较大,人工选择效率较低,为此提出以人工选择初始聚类质心、C均值模糊聚类算法自动标注训练样本的基于多类支持向量机的半监督式遥感图像分类方法,期望能在获得适用的分类精度的基础上有效提高分类效率-Neural ne
feature_selection_similarity
- Feature selection method using similarity measure and fuzzy entroropy measures based on the article: P. Luukka, (2011) Feature Selection Using Fuzzy Entropy Measures with Similarity Classifier, Expert Systems with Applications, 38, pp.