Title :
Prediction model of agricultural mechanization based on Grey Neural Network
Author :
Qisheng, Yan ; Zhiyong, Rao ; Pan, Yang
Author_Institution :
Sch. of Math. & Inf. Sci., East China Inst. of Technol., Fuzhou, China
Abstract :
A prediction model of agricultural mechanization is studied by means of applying Grey System theory and BP Neural Network (GMBPNN). The method is illustrated by example, and the results obtained by using the GMBPNN method are compared with that from GM (1, 1) and BP neural network prediction methods. The simulation results demonstrate the efficiency of our proposed algorithms, which offers a new way to improve the forecasting accuracy.
Keywords :
agriculture; backpropagation; forecasting theory; grey systems; neural nets; production engineering computing; BP Neural Network; GMBPNN; agricultural mechanization; forecasting accuracy; grey neural network; grey system theory; Manganese; Agricultural Mechanization; BP neural network; GM (1, 1) model; Mechanization integrating level;
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6539-2
DOI :
10.1109/ICACTE.2010.5579557
