搜索资源列表
LVQ-neural
- LVQ神经网络的分类——乳腺肿瘤诊断，MATLAB的经典算法-LVQ neural network classification- breast cancer diagnosis, MATLAB classical algorithm
lvq
- LVQ神经网络的分类——乳腺肿瘤诊断,这是神经网络的分类，使用的是MATLAB语言编写的-lvq matlab net which is very useful,you can download it and use it to do what you want.....
The-code-for-LVQ-model
- 采用lvq神经网络模型进行乳腺肿瘤诊断的程序，本人亲自尝试，可以正常使用。对于使用LVQ算法的同学很有帮助！-Lvq using neural network model of breast cancer diagnosis programs, I personally try to be normal. For LVQ algorithm helps the students!
libsvm_1
- 支持向量机的分类-基于乳腺组织电阻抗特性的乳腺癌诊断-Support Vector Machine- Based on the breast tissue impedance characteristics of breast cancer diagnosis
LVQ
- LVQ神经网络的分类，乳腺肿瘤诊断的神经网络实例分析-VQ neural network, the classification of breast tumor diagnosis neural network analysis
chapter26
- 《matlab神经网络43个案例分析》源码26，BP神经网络的分类——乳腺肿瘤诊断 - Matlab neural network 43 Case Studies Source 26, BP neural network classification- breast cancer diagnosis
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
chapter28
- 支持向量机的分类——基于乳腺组织电阻抗特性的乳腺癌诊断-Support Vector Machine- based breast tissue electrical impedance characteristics of 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
main
- chapter28支持向量机的分类——基于乳腺组织电阻抗特性的乳腺癌诊断(Classification of chapter28 support vector machines - breast cancer diagnosis based on breast tissue impedance)
random forest
- 此源程序包含随机森林工具箱，以及将随机森林算法用于乳腺肿瘤数据的分类预测(This source includes random forest toolbox, and random forest algorithm is used to classify and predict breast tumor data.)