| Popis: |
Accurate and real-time water quality assessment is an important way to ensure healthy aquaculture and protect the water environment. Due to the diversity, nonlinear and uneven distribution of aquaculture water quality parameters, it's very difficulty to assess the water quality. In this paper, the accurate water quality parameters are obtained by an adaptive weighted fusion method, then the water quality is assessment by the BP neural network, thus the software of the monitoring and evaluation system for ecological water quality is developed. The test results show that the accuracy of the water quality assessment system is 93.3%, which has good practicability. |
