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这个是我自己编写的基于混沌自适应粒子群优化支持向量机用于分类的matlab程序，本程序以心脏病的诊断为例，得出了非常好的效果！主要贡献在于解决了支持向量机参数人为选取随意性大且效果好坏不稳定的难题！-This is what I have written based on adaptive chaotic particle swarm optimization of support vector machine for classification of matlab procedures, t
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prediction ,plotting,and classification using ann with dimensionality reduction for wegeners disease
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prediction ,plotting,and classification using ann with dimensionality reduction for wegeners disease
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This function calculate the performance, based on Bayes theorem, of a clinical test. The input is based on a 2x2 matrix (true positive, false positives false negative, true negatives).
The Outputs are:
- Prevalence of disease
- Test Sensibility
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病虫害分类用,用来进行病害虫分类的MATLAB程序-Pest and disease classification used, the classification used for pest MATLAB program
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自己2011年12月的神经网络作业，利用神经网络训练：
自组织竞争网络在模式分类中的应用
—患者的某病的发病预测-December 2011, the neural network operation, the use of neural network training: self-organizing competitive network for pattern classification- in patients with the incidence of a disease
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Leaf disease detection and classification in matlab..i t contains input images. it can classify well with a disease name. it needs to be improved in matlab
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在matlab中的代码，SVM进行心脏病分类，很基本的回归和分类样例(The code in MATLAB, SVM for heart disease classification, very basic regression and classification examples)
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