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本算法是利用matlab及libsvm软件包仿真了利用SVM建立基于乳腺组织电阻抗特性的乳腺癌诊断模型,并对诊断模型的特性进行评价-This algorithm is the use of simulation software package libsvm matlab and the establishment of the use of SVM based on electrical impedance properties of breast tissue model of breast
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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
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Data Perturbation Independent Diagnosis and Validation of
Breast Cancer Subtypes Using Clustering and Patterns
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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
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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. . .
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BP神经网络 乳腺癌诊断
自动选择最佳神经元个数-BP neural network automatically select the best breast cancer diagnosis the number of neurons
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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 classification- based on the diagnosis of breast tissue electrical impedance characteristics of breast cancer
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Breast cancer is the second most common cause of cancer death in women. Early
detection is the only way to reduce the mortality. Mammography is the best available
technique used for earlier detection. But due to manual reading the performance of
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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
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matlab的神经网络算法——解决乳腺肿瘤诊断问题,分别采用BP算法解决以及LVQ算法解决,包含样例乳腺肿瘤数据。-matlab neural network algorithm- to solve the problem of diagnosis of breast cancer, respectively, with BP algorithm to solve LVQ algorithm to solve, contains a sample of breast tumor data.
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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
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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
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svm分类程序,基于乳腺组织电阻抗特性的乳腺癌诊断-svm classification procedure, based on electrical impedance characteristics of breast tissue for breast cancer diagnosis
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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 classification- based on electrical impedance characteristics of breast tissue diagnosis of breast cancer
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《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!
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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!
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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
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LVQ神经网络的分类——乳腺肿瘤诊断相关程序-The classification of LVQ neural network- breast cancer diagnosis relative program
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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
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DESIGN OF A Breast cancer diagnosis
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