Evaluation of Water Quality Based on Artificial Neural Network Using VB

Evaluation of water environment quality plays an important role in environment science. By analyzing the factors influencing multi-reach water quality, a RBF neural network model with water quality is developed using neural network theory and method. It is integrated into a software package using VB program. The software has a friend interactive interface, and someone not knowing artificial neural network can easily operate it. The development of software verifies that visual language VB is suitable to developing engineering softwares.