基于隐马尔可夫模型的双链马尔可夫模型被引量：1

Double Chain Markov Model Based on Hidden Markov Model

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摘要为了研究双链马尔可夫模型(DCMM)的基本问题及其估计算法,对隐马尔可夫模型(HMM)基本问题及算法进行了分析,同时利用2个模型定义之间的联系,提出了从HMM到DCMM的推导条件,并分析了此条件的合理性,从而将比较成熟的HMM理论及其基本问题的算法推广到DCMM中。 In order to study the basic problems and their estimation algorithm of the double chain Markov model （DCMM） , we analyzed and explored deeply the basic problems and algorithms of hid- den Markov model （HMM）. At the same time, taking the relation of two models＇ definition, we pro- posed conditions of mutual derivation and analyzed the reasonableness of this condition. Thereby, we can apply more mature set of HMM algorithm theory and its basic problems into DCMM by using the proposed derivation conditions.

作者陈琦吾拉木江.艾则孜申建新胡锡健

机构地区新疆大学数学与系统科学学院

出处《重庆理工大学学报（自然科学）》 CAS 2014年第2期115-119,共5页 Journal of Chongqing University of Technology：Natural Science

基金国家自然科学基金资助项目(41261087) 新疆文科基地重大项目(06019201)

关键词隐马尔可夫模型双链马尔可夫模型推导条件 hidden Markov model double chain Markov model derivation

分类号 O21 [理学—概率论与数理统计]

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