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C45Rule-PANE
- Descr iption: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zhou and Y. Jiang. Medical diagn
LVRclass21
- LVQ神经网络 分类 实例 乳腺肿瘤 诊断-LVQ neural network classification of instances of breast cancer diagnosis
bp
- 神经网络分类在医疗领域乳腺肿瘤诊断中的应用-Neural network classifier in the medical field diagnosis of breast cancer
LVQ-ANN-1
- 基于LVQ神经网络的分类的乳腺肿瘤诊断的matlab源程序以及所需数据-LVQ neural network based classification of breast cancer diagnosis matlab source code. . .
LVQ
- LVQ神经网络的分类——乳腺肿瘤诊断，判定良性还是恶性-LVQ neural network classification- diagnosis of breast cancer
svm--matlab
- matlab智能算法30个案例分析源码之--支持向量机的分类--基于乳腺组织电抗阻性的乳腺癌诊断 包括原始数据和SVM分类代码 是学习支持向量机的好的案例-matlab intelligent algorithm analysis of 30 cases source code- support vector machine classification- based on the electrical resistance of breast cancer diagnosis in bre
the-classification
- LVQ神经网络的分类——乳腺肿瘤诊断，可以更好地了解分类的方法-The classification of LVQ neural network- breast cancer diagnosis
eg21-zhongliuzhengduan
- 《MATLAB神经网络30个案例分析》中的第21个例子，案例21 LVQ神经网络的分类——乳腺肿瘤诊断。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of example, 21 cases of 21 LVQ neural network classification of breast cancer diagnosis. Hope to have certain help to everybody!
LVQ
- LVQ neural network - breast cancer diagnosis LVQ神经网络的分类——乳腺肿瘤诊断-LVQ neural network- breast cancer diagnosis LVQ neural network- breast cancer diagnosis
GRNN_PNN
- 将训练集与测试集数据进行归一化； 建立GRNN或PNN神经网络； 利用建立好的神经网络对测试集中的26个乳腺组织样本的类型进行预测； 计算预测正确率（不必计算每类的正确率，只需计算正常或者病变两类的正确率，即只要预测结果与真实值属于同一大类，则认为是正确，否则认为预测错误）-The training set and test data set is normalized Establish GRNN or PNN neural network The use of wel
UCIdata
- 神经网络的应用——分类器中常用的分类数据集：乳腺肿瘤识别-That is commonly used in the application of neural network, a classifier classification data sets: breast tumor recognition