The characteristic samples of normal state are used as the observation value of the model to train the CHSMM, and then the sample input model of the sample to be tested is obtained, and the output probability of the sample is obtained relative to the normal model.

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matlab经典算法程序\Arithmetic\Dijkstra\MINROUTE.M
matlab经典算法程序\Arithmetic\Dynamic_pro\DYNPROG.M
matlab经典算法程序\Arithmetic\Floyd\floyd.m
matlab经典算法程序\Arithmetic\kruskal\MINTREEK.M
matlab经典算法程序\Arithmetic\Random_generate\SPECRND.M
matlab经典算法程序\Arithmetic\work\CandM\mrank.c
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matlab经典算法程序\Arithmetic\work\CandM\pkg.mlib
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matlab经典算法程序\math_exp\代数方程组的解法\biology.m
matlab经典算法程序\math_exp\代数方程组的解法\boyin.m
matlab经典算法程序\math_exp\代数方程组的解法\df1.m
matlab经典算法程序\math_exp\代数方程组的解法\df2.m
matlab经典算法程序\math_exp\代数方程组的解法\diechaos.m
matlab经典算法程序\math_exp\代数方程组的解法\erfenfa.m
matlab经典算法程序\math_exp\代数方程组的解法\exampleg.m
matlab经典算法程序\math_exp\代数方程组的解法\exampleg1.m
matlab经典算法程序\math_exp\代数方程组的解法\examplegs.m
matlab经典算法程序\math_exp\代数方程组的解法\examplejac.m
matlab经典算法程序\math_exp\代数方程组的解法\examplesor.m
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matlab经典算法程序\math_exp\代数方程组的解法\gausei.m
matlab经典算法程序\math_exp\代数方程组的解法\gauss.m
matlab经典算法程序\math_exp\代数方程组的解法\gauss1.m
matlab经典算法程序\math_exp\代数方程组的解法\gexian.m
matlab经典算法程序\math_exp\代数方程组的解法\jac.m

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