【摘要】：單模型在處理不等長(zhǎng)序列數(shù)據(jù)關(guān)聯(lián)時(shí)不能兼顧計(jì)算精度、復(fù)雜度和抗擾性,為此提出了基于多模型(MM)的不等長(zhǎng)序列數(shù)據(jù)關(guān)聯(lián)算法。將基于滑動(dòng)窗口和動(dòng)態(tài)時(shí)間彎曲(DTW)的不等長(zhǎng)序列相似度度量模型作為MM的輸入模型,以2種模型計(jì)算得到的時(shí)似變化比作為模型判斷指標(biāo)進(jìn)行模型轉(zhuǎn)換,實(shí)現(xiàn)了2種模型的優(yōu)勢(shì)互補(bǔ),并得到模型的應(yīng)用條件,最后輸出MM作用后的不等長(zhǎng)序列相似度,以此作為關(guān)聯(lián)指標(biāo)進(jìn)行關(guān)聯(lián)判定。仿真實(shí)驗(yàn)驗(yàn)證了MM關(guān)聯(lián)算法在處理不等長(zhǎng)序列數(shù)據(jù)關(guān)聯(lián)的有效性,并對(duì)序列長(zhǎng)度和突變率變化對(duì)關(guān)聯(lián)效果的影響進(jìn)行了分析。
[Abstract]:When dealing with unequal length sequence data association, a single model can not take into account computational accuracy, complexity and immunity. Therefore, an unequal length sequence data association algorithm based on multi-model (MM) is proposed. The similarity measurement model of unequal series based on sliding window and dynamic time bending (DTW) is used as the input model of MM, and the time likelihood ratio calculated by the two models is used as the model judgment index to transform the model. The advantages of the two models are complementary, and the application conditions of the models are obtained. Finally, the similarity of unequal length sequences after MM is output, which is used as an association index to determine the association. Simulation results show that the MM correlation algorithm is effective in dealing with data association of unequal length sequences, and the influence of the variation of sequence length and mutation rate on the correlation effect is analyzed.
【作者單位】： 海軍航空工程學(xué)院電子信息工程系;91934部隊(duì);
【基金】：國(guó)家自然科學(xué)基金(61032001) 新世紀(jì)優(yōu)秀人才支持計(jì)劃(NCET-11-0872)~~
【分類號(hào)】：TP212;TP301.6

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