Forecast of Irrigation Water Use Based on Neural Network
Jiesheng Huang · Journal of Irrigation and Drainage · 2004
Forecast of irrigation water use based on neural network was studied. Genetic algorithm was used to optimize the initial weight and Levenberg-Marquardt (LM) algorithm was used to reduce the error. Case study was conducted for Dongfengqu Irrigation District in Hubei Province and the availability of the forecast method has been approved.