基于过程神经网络和量子免疫算法的油气评价  

Evaluation method of oil and gas resource based on process neural networks and quantum immune algorithm

作　　者：李欣[1] 程春田[2] 李刚[2] 

机构地区：[1]大连理工大学电子与信息工程学院,辽宁大连116024 [2]大连理工大学水电与水信息研究所,辽宁大连116024

出　　处：《计算机工程与应用》2008年第25期9-12,23,共5页Computer Engineering and Applications

基　　金：国家自然科学基金No50479055; 50679011~~

摘　　要：为评价我国目前油气资源的可持续发展能力,提出了一种将过程神经元网络与量子免疫算法相结合的评价方法。首先,在构建油气资源可持续发展能力评价指标体系的基础上,采用过程神经元网络建立评价指标体系与评价结果之间的映射关系;然后采用量子免疫算法完成网络的训练;最后,以2004年～2006年的油气资源经济可持续发展评价为例,验证了方法的有效性和可行性。In order to evaluate the sustainable development capacity of current oil and gas resources,a process neural network evaluation method based on quantum immune optimization is proposed.Firstly,on the basis of the sustainable development economy evaluation index system construction,the process neural network is applied to create the mapping relationship between evaluation Index system and the evaluation results.Secondly,the quantum immune algorithm is applied to optimize the weight of the process neural network,which completes the training process of network.Finally,the economy evaluation result of oil and gas sustainable development from 2004 to 2006 shows that the proposed method is feasible and effective.

关 键 词：过程神经元网络 量子免疫算法 油气资源 综合评价 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]