摘要
针对油田开发指标预测问题,提出一种T-S模型建模方法。该方法采用量子遗传算法优化T-S参数。首先根据预测指标及影响因素建立模糊规则库,然后根据模糊规则库建立T-S预测模型,采用改进的量子遗传算法优化T-S参数。以油田开发指标中含水率预测为例,结果表明该方法是有效可行的。
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.
出处
《计算机应用与软件》
CSCD
北大核心
2012年第4期57-59,67,共4页
Computer Applications and Software
基金
国家自然科学基金项目(61170132)
黑龙江省教育厅科学基金项目(11551015)
中国博士后科学基金特别项目(201003405)
关键词
T-S模型
量子遗传算法
指标预测
优化算法
T-S model Quantum genetic algorithm Indexes prediction Optimisation algorithm
