A Method Using Genetic Algorithm to Optimize Neural Networks Applied in Sustainable Development Ability Appraisal

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.