Structure and algorithm of BP Network for underground hydrology forecasting
Zhongyi Qu · Journal of Hydraulic Engineering · 2004
The BP networks with different structure and algorithm are applied to forecast regional groundwater level.The layers of structure,learning rate,number of hidden unit and BP algorithm which affecting the convergence and the accuracy of simulation are studied.It is found that the more the layer unmber,the more narrow the stable interval.Normally,the learning rate is ranging from 0.01 to 0.1.The accelerated BP algorithm is better than normal BP both in training speed and convergence accuracy.Two kinds of BP algorithm are used to simulate the annual groundwater level variation of Hotao district in Yellow River basin,based on long term hydrological and climate data.The prediction of groundwater in this district,in case the water saving project is implemented,is carried out.