chap15

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用c程序和matlab分别试验一种k-means改进算法，按照方法选取聚类中心点，事实证明，这种改进是有效的。(Matlab with c procedures and were experimenting with an improved k-means algorithm, in accordance with the method of selecting cluster center, the facts show that this improvement is effective.)

ukf sukf and ekf for GPS/SINS application (ukf ekf sukf)

incremental slow feature analysis version 2

利用罚函数法求解下列问题：求f=x1^2+4*x2^2的最小值，其中要满足：x1-x2-1≤0 -x1-x2+1≤0 x2-1≤0 (Using penalty function method to solve the following questions: o f = x1 ^ 2+ 4* x2 ^ 2 minimum value, which will meet: x1 x2-1-0 or -x1 x2+ 1 or 0- X2-1 or 0 )

CARS变量选择方法能够在一定程度上克服变量选择中的组合爆炸问题，筛选出优化的变量子集，提高模型的预测能力( Competitive Adaptive Reweighted Sampling method for variable selection.)

说明：  将原始数据导入，并运用lstm模型进行模拟运算，主要是做预测分析。(The original data are imported and simulated with LSTM model, mainly for prediction and analysis.)

matlab中实现的支持向量机的工具箱和例子(svm_matlab_toolsbox_and_examples.rar)

利用matlab軟體實現類神經網路 BAM演算法(Neural network using matlab BAM implementation)

总体经验模态分解，帮助理解经验模态分解的过程(ensembled empirical mode decomposition, to help understand the empirical mode decomposition process)