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1)  fuzzy Markov chain with weight
模糊带权马尔可夫链
2)  FUzzy-Markovian Chain
模糊马尔可夫链
1.
According to the statistic data on hazards occurred in Xinjiang line of New Eurasian Continental Bridge in recent 40 years, the number of dameged sectors in Xinjiang line is analyzed and forecasted by using fuzzy-Markovian chain forecasting method and principle.
根据新亚欧大陆桥新疆段近40年灾害统计资料,基于模糊马尔可夫链状预测的方法与原理,通过模糊状态的划分和模糊运算,根据隶属度最大原则,确定所属的状态,对新疆段受损区段数进行了预测,预测准确率为75%,取得了预期的效果。
3)  fuzzy Markov chain
模糊马尔科夫链
1.
Combining the engineering characteristic and the theory of Markov chain, this paper inferred the forecast model of fuzzy Markov chain, which had the fuzzy division of conditions and characteristics of no following effects in the main.
针对工程问题的特点结合马尔科夫链理论 ,提出了具备状态模糊划分和具有“大体无后效性”特点的模糊马尔科夫链状的预测模型。
2.
By establishing the prediction model for deterioration of reinforced concrete bridge based on the fuzzy Markov Chain,this paper expatiates the classification of deterioration grades of bridge structure and determination methods for fuzzy deterioration states.
建立基于模糊马尔科夫链的钢筋混凝土桥梁劣化预测模型,对桥梁结构劣化等级的划分及模糊劣化状态的确定方法进行阐述。
4)  weighted Markov chain
加权马尔可夫链
1.
Application of weighted Markov chain to prediction of precipitation;
加权马尔可夫链在降水状况预测中的应用
2.
The weighted Markov chain model of Jinan annual rainfall
济南市年降雨量的加权马尔可夫链模型
3.
And the dryness and wetness status is forecasted by applying weighted Markov chain.
根据1971 2000年辽宁省本溪市市区降水量资料,取适当的α值,采用均值—方差法对年降水量进行分级,并应用加权马尔可夫链对该地区的旱涝状态进行了预测,结果表明,预测值与实际值相吻合,说明此方法有一定的实际应用意义。
5)  weighted Markov chain
权马尔可夫链
1.
Then based on the verification of the Markov chain characteristics of precipitation,the weighted Markov chain used for predicting the state of precipitation in Beijiang River Basin has been .
再结合丰、偏丰、平、偏枯、枯水年的频率标准,建立了适用于北江流域年降雨量的分级数值区间,同时,验证了该序列满足马尔可夫链的要求,并考虑该年降雨量序列是相依随机变量的特点,以规范化的各阶自相关系数为权,建立了北江流域年降雨量的权马尔可夫链预测模型,实例验证结果令人满意。
6)  fuzzy Markov random field
模糊马尔可夫场
1.
Novel algorithm for segmentation of brain MR images using fuzzy Markov random field;
基于模糊马尔可夫场的脑部MR图像分割算法
补充资料:马尔可夫链模型
      见数理社会学。
  

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