辽宁工业大学学报(自然科学版)
遼寧工業大學學報(自然科學版)
료녕공업대학학보(자연과학판)
JOURNAL OF LIAONING UNIVERSITY OF TECHNOLOGY(NATURAL SCIENCE EDITION)
2014年
6期
399-403
,共5页
朱会霞%玄登影%张彩虹%王福林
硃會霞%玄登影%張綵虹%王福林
주회하%현등영%장채홍%왕복림
区间自适应遗传算法%马尔可夫模型%状态转移概率
區間自適應遺傳算法%馬爾可伕模型%狀態轉移概率
구간자괄응유전산법%마이가부모형%상태전이개솔
interval adaptive genetic algorithm%Markov model%state transfer probability
将区间自适应遗传算法应用于马尔可夫预测模型状态转移概率矩阵的求解。用马尔可夫预测法对辽宁省农、林、牧、渔各业产值结构进行了研究,与《中国统计年鉴》整理得到的数据比较,具有较高的预测精度,为优化辽宁省农业产值结构提供参考。
將區間自適應遺傳算法應用于馬爾可伕預測模型狀態轉移概率矩陣的求解。用馬爾可伕預測法對遼寧省農、林、牧、漁各業產值結構進行瞭研究,與《中國統計年鑒》整理得到的數據比較,具有較高的預測精度,為優化遼寧省農業產值結構提供參攷。
장구간자괄응유전산법응용우마이가부예측모형상태전이개솔구진적구해。용마이가부예측법대요녕성농、림、목、어각업산치결구진행료연구,여《중국통계년감》정리득도적수거비교,구유교고적예측정도,위우화요녕성농업산치결구제공삼고。
An interval adaptive genetic algorithm was applied to solving the state transfer matrix by using Markov prediction model. The Markov prediction model was employed to study structures of production value in agriculture, forestry, animal husbandry and fishery industries in Liaoning province. The obtained results were compared with the data shown in the China Statistical Yearbooks. It is shown that the method has higher prediction precision and provides references for optimizing the structure of agricultural production value in Liaoning province.