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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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使用高斯模型对威斯康辛州大学医学院长期乳腺癌数据进行了贝叶斯模式识别。识别率为95以上，可以作为模式识别的重要案例。-Gaussian model using the University of Wisconsin School of Medicine conducted a long-term breast cancer data Bayesian pattern recognition. Recognition rate is above 95 can be regarded as an i
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Matlab application for breast cancer detection. Also included .names and .data with more than 200 cases.
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这是一个基本的数模题目的套路，分析数模聚类问题，例子是乳腺癌的诊断模型，过程为标准化数据，逐步回归，分析主要因素，聚类方法有距离法和神经网络法，均附有源码和解释说明-This is an essential topic of routine digital-analog, digital-analog cluster analysis problem example is the breast cancer diagnostic model, the process for the standa
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breast cancer test , simple
input image and target images to highlight the cancer-breast cancer test , simple
input image and target images to highlight the cancer
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breast cancer detection
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Matlab中LVQ神经网络的分类——乳腺肿瘤诊断-LVQ neural network classification- breast cancer diagnosis
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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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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
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《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
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Mammogram breast cancer image detection MATLAB File
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breast cancer detection matlab- breast cancer detection matlab
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breast cancer detection matlab code
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It implements genetic algorithm in diagnosing breast cancer.
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