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- W2392807083 abstract "A new forecasting model—GLMBPNN(Gray Levenberg-Marquardt Back Propagation Neural Network) is proposed,which is based on the gray theory and modified BP(Back Progagation) neural network sped by Levenberg-Marquardt algorithm on learning speed.Firstly,the gray theory is applied to learn changes of historical data and obscure the data by accumulating.Secondly,Levenberg-Marquardt algorithm is utilized to train the BP network with samples made up of processed historical data.Finally,predicted result is attained from simulation and whitening.The research result proves that the GLMBPNN model predict method is more precisely than traditional gray model and possesses a faster convergence speed than the BP network." @default.
- W2392807083 created "2016-06-24" @default.
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- W2392807083 date "2011-01-01" @default.
- W2392807083 modified "2023-09-27" @default.
- W2392807083 title "A Fashion Color Forecast Based on Gray Back Propagation Neural Network Model" @default.
- W2392807083 hasPublicationYear "2011" @default.
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