改进的BP神经网络在浑河沈阳区段水质评价中的应用

Application of Improved BP Neural Network to Evaluate Water Quality of Hunhe

应用神经网络模型对浑河沈阳区段水质进行评价,由于网络的改进有效地提高了训练的速度、节省训练时间,并且提高了评价的准确性,说明该方法为水质评价提供了一种快捷有效的评价方法。

This paper apply neural network to estimate the water quality of Hunhe. Comparing the assessment results with those gained by traditional calculation suggests that this method of assessment is accurate and convenient.