【摘要】：針對現有改進互信息爬山(MIHC)算法精度低、耗時長及簡化爬山(SHC)算法產生大量冗余邊的問題,提出一種新的結構學習算法,即改進爬山(IHC)算法。通過計算互信息鏈得到貝葉斯初始結構,利用條件獨立性測試以及對孤立節(jié)點進行處理來加邊補充貝葉斯初始結構得到完全結構,利用改進的爬山搜索算子對完全結構進行搜索直到得出最優(yōu)結構。將該算法與爬山(HC)算法、MIHC算法、SHC算法進行比較,仿真結果表明,IHC算法能夠得到較高準確率的模型,時間開銷最小而且產生的冗余邊數遠遠少于SHC算法產生的冗余邊數。最后基于IHC算法,結合某回轉窯數據進行訓練,得到了回轉窯工藝參數的故障診斷模型,對回轉窯的燒成帶溫度實現了較為準確的故障診斷。
[Abstract]:Aiming at the problems of low precision, long time consuming and large number of redundant edges generated by the existing improved mutual information mountain climbing (MIHC) algorithm, a new structure learning algorithm, that is, the improved hill climbing (IHC) algorithm, is proposed to solve the problem of reducing the amount of redundant edges generated by the simplified hill climbing (SHC) algorithm. The Bayesian initial structure is obtained by computing the mutual information chain, and the complete structure is obtained by using conditional independence test and processing of isolated nodes to add edges to supplement the Bayesian initial structure. The improved mountain-climbing search operator is used to search the complete structure until the optimal structure is obtained. Compared with (HC) algorithm, MIHC algorithm and SHC algorithm, the simulation results show that the IHC algorithm can get a high accuracy model. The time cost is minimum and the number of redundant edges generated is far less than the number of redundant edges generated by the SHC algorithm. Finally, based on the IHC algorithm and the data of a rotary kiln, the fault diagnosis model of process parameters of rotary kiln is obtained, and the fault diagnosis of firing zone temperature of rotary kiln is realized accurately.
【作者單位】： 燕山大學信息科學與工程學院;燕山大學電氣工程學院;
【基金】：國家自然科學基金資助項目(51641609) 河北省自然科學基金資助項目(F2016203354)
【分類號】：TP18;TQ054

【相似文獻】

相關碩士學位論文 前1條

1 楊振;化學反應優(yōu)化算法的理論研究與改進[D];南通大學;2014年

，

本文編號：2429861