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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. Zh
SSiCP2.0b
- 基于weka平台的数据挖掘方法，改进特征基因选择过程，使得癌症分类精度更高
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. Zh
SSiCP2.0b
- 基于weka平台的数据挖掘方法，改进特征基因选择过程，使得癌症分类精度更高-Weka platform based on data mining methods, to improve the characteristics of gene selection process, making cancer a higher classification accuracy
B-topic-MATLAB
- 北京大学2001年数学建模B题MATLAB算法 判断癌症的经典模型算法-Beijing university in 2001, mathematical modeling B topic MATLAB algorithm of classical model algorithm judge cancer
neural-networkclassification-
- 单层竞争神经网络的数据分类—患者癌症发病预测-Single layer neural network data classification in patients with cancer prediction
Neural-network555
- 单层竞争神经网络的数据分类—患者癌症发病预测，共3个文件-Single layer neural network data classification in patients with cancer prediction, a total of 3 documents
patients-with-cancer-prediction
- 单层竞争神经网络的数据分类—患者癌症发病预测-Single layer neural network data classification in patients with cancer prediction
breast-cancer
- 用ISOMAP算法对癌症数据进行降维处理，然后再对降维后的数据进行可视化分析-ISOMAP algorithm to reduce the dimensionality of cancer data processing, data dimensionality reduction and then to visualization analysis
5
- 乳腺癌的发病率在女性癌症中占据首位，开展乳腺癌的诊断和防治研究具有重要的科学意义和临床实用价值。 文中主要研究的是对超声图像进行分析，对其灰度和纹理特征提取进行研究，并在特征选择阶段使用类间距对单个特征的分 类能力进行评价，为后续研究计算机辅助诊断系统奠定一个初步基础。 -Extraction of Gray and Texture Features based on Ultrasonic Image of Breast
cancer
- 单层竞争神经网络的数据分类—患者癌症发病预测-Monolayer competitive neural network data classification- cancer in patients with predicted
case16
- 单层竞争神经网络的数据分类—患者癌症发病预测。 基于matlab编程的.m文件-Single-layer neural network data classification competition- in patients with cancer incidence predicted. Based on matlab programming m file
LVQ-matlab
- LVQ用于癌症细胞的识别，判断，模式识别。医学方面的应用例子。matlab程序-LVQ ，used in cancer disease,good matlab code!thanks
PCR
- 基于红外热成像的电化学实时定量PCR仪的研究该技术利用电化学检测方法实现对PCR扩增产物的实时定量检测，与目前广泛使用的荧光定量PCR仪相比，具有小型便携化、成本低、仪器操作简单等优点，使分子诊断技术用于床旁检测成为可能，对癌症基因早期诊断的普及、推广具有重要意义。-Infrared thermal imaging is based on real-time quantitative PCR instrument electrochem
eg16-fabingyuce
- 《MATLAB神经网络30个案例分析》中的第16个例子，案例16 单层竞争神经网络的数据分类—患者癌症发病预测。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of example, 16 cases (16 patients with single competitive neural network data classification- cancer pre
extractNodule
- 用于提取癌症CT图像中的病变细胞特征，进行分割图像的程序。-CT image for extracting a lesion in cancer cell characteristics for image segmentation procedures.
chengxu
- 一个基于单层竞争神经网络的数据分类程序，对患者癌症发病进行预测-A single competitive neural network based data classification procedures for cancer patients to predict
sample-program
- 机器学习，前列腺癌症回归示例程序 -Machine learning, prostate cancer regression sample program, prostate cancer regression sample program
16SOMnetwork
- 基于MATLAB的单层竞争网络，本例子是用来预测癌症病人发病率。经过仿真实验，本代码可行，可用于多种情况下参考-Based on MATLAB s single layer competition network, this example is used to predict the incidence of cancer patients. Through simulation experiments, this code is f
chapter16
- 单层竞争神经网络的数据分类，患者癌症发病预测-Patients with single competition neural network data classification, cancer prediction