文献类型：会议论文

英文题名：A method using Genetic Algorithm to Optimize Neural Networks applied in Sustainable Development Ability Appraisal

作者：Zeng Meng-jia[1];Cheng Zhao-lin[2]

机构：[1]Guangdong Ocean Univ, Informat Coll, Zhanjiang 524088, Peoples R China;[2]Guangdong Ocean Univ, Econ Management Coll, Zhanjiang 524088, Peoples R China

会议论文集：International Conference on Electronic Computer Technology

会议日期：FEB 20-22, 2009

会议地点：Macau, PEOPLES R CHINA

语种：英文

外文关键词：genetic algorithm; neural networks; sustainable development ability; indicator system

外文摘要：This paper presents a method using genetic algorithms to optimize neural networks. It handled the problem of neural network early-maturing. Then it established an appraisal model of sustainable development ability and it's indicator system, using the method to appraisal city ability of sustainable development can solute the deficiency of subjectivity and lacking permit in the traditional estimate system. Finally, demonstration researches are carried out by use of actual index data. There is a favorable result.