%0 Journal Article
%T Neural Networks Optimized by Genetic Algorithm Used in Strategy of the Sustainable Development Ability
改进GA神经网络在可持续发展水平研究中的应用
%A ZENG Meng-jia
%A CHENG Zhao-lin
%A
曾孟佳
%A 程兆麟
%J 系统工程理论与实践
%D 2007
%I
%X This paper presents an appraisal model of sustainable development ability based on neural networks optimized by genetic algorithm,the model optimizes the networks by using genetic algorithm,thus the deficiency of subjectivity and lacking permit in the traditional estimate system.Established the indicator system of sustainable development ability which adapts to the national instance.Finally,demonstration research are carried out by use of actural index data.There is a favorable result.
%K genetic algorithm
%K neural networks
%K sustainable development ability
%K indicator system
遗传算法
%K 神经网络
%K 可持续发展能力
%K 指标体系
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=191462F5611673A5&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=E158A972A605785F&sid=2B5DE8A23DCEED39&eid=F122871CC7EC92DC&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=0&reference_num=12