The Study On The Fuzzy Neural Network Expert System For The Comprehensive Evaluation Of Eutrophication Lakes

The system for the comprehensive evaluation of eutrophication lakes has important signification for the evaluation of lakes nutrition state, mechanism of eutrophic evolution and eutrophication moderate control study. In accordance with the characteristic and the developing state of lakes ecological system at present, this research studies and develops FNN-ES, that can be comprehensive evaluate eutrophic level of lakes. This system has been not only applied to evaluate water quality and received correct results in 16 representative lakes in China, but also applied to evaluate water quality on the different harvest of water plants and received critical value, which is to change from eutrophic to mesotrophic state of water quality in Wuliangsuhai. The system is not only regarded as a primary supervisory tool for comprehensive assessment and treatment of lakes, but also is used to formulate overall plan and enforcement program for ecological treatment project of lakes.