计算机应用与软件2012，Vol.29Issue(4)：57-59,67,4.
基于T-S模型和PQGA的油田指标预测方法
PREDICTION OF OILFIELD DEVELOPMENT INDEXES BASED ON T-S AND PQGA
摘要
Abstract
Aiming at the prediction of oilfield development indexes, a T-S modelling method is proposed. This method adopts the quantum genetic algorithm to optimise the T-S parameters. Firstly, the fuzzy rule base is establish according to the prediction indexes and influence factors, secondly, the T-S prediction model is set up according to the fuzzy rule base, and the improved quantum genetic algorithm is applied to optimise the T-S parameters. With the prediction of moisture content in oilfield development indexes as an example, the experimental results show that this method is effective and feasible.关键词
T-S模型/量子遗传算法/指标预测/优化算法Key words
T-S model/Quantum genetic algorithm/Indexes prediction/Optimisation algorithm分类
信息技术与安全科学引用本文复制引用
李盼池,王海英,杨雨..基于T-S模型和PQGA的油田指标预测方法[J].计算机应用与软件,2012,29(4):57-59,67,4.基金项目
国家自然科学基金项目(61170132) （61170132）
黑龙江省教育厅科学基金项目(11551015) （11551015）
中国博士后科学基金特别项目(201003405). （201003405）
