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) Then, the minimum sub-band entropy of each layer is (11) 3.5 BP neural network Artificial neural networks (ANNs), due to their excellent ability of non.... Since a three-layer feed forward artificial neural network can approximate any nonlinear continuous function to an arbitrary accuracy, in this approach, the three-layer neural network was adopted......
artificial neural network forecasting model and its applicaiotn in the GM(1,1) residual error correcation[J]. Computer Engineering and Applications, 2005, 4(1): 194-196. (in Chinese) [10] HSU L C, WANG...; A new grey forecasting model based on BP neural network and Markov chain LI Cun-bin(李存斌), WANG Ke-cheng(王恪铖) (School of Business Administration, North China Electric Power University, Beijing 102206......
the forecasting problem, artificial neural network (ANNs) methods have been proposed. ANNs are able to give better performance in dealing with the nonlinear relationships among their input variables[1... time. 3 BP neural network trained by PSO In artificial neural networks, back propagation network is a powerful tool for prediction of nonlinearities. It consists of three layers: input layer, hidden......
="ChDivSummary" name="ChDivSummary">An artificial neural network and regression procedures were used to predict the recovery and collision probability of quartz flotation concentrate in different operational... and 0.87, respectively. A feed-forward artificial neural network with 3-3-3-2 arrangement is able to simultaneously estimate the recovery and collision probability as the outputs. In testing stages......
Prediction of Composition of GaInAsSb Epilayers by MOCVD Using Pattern Recognition and Artificial Neural Network Method严六明,吴伟,彭瑞伍摘 要:ＰｒｅｄｉｃｔｉｏｎｏｆＣｏｍｐｏｓｉｔｉｏｎｏｆＧａＩｎＡｓＳｂＥｐｉｌａｙｅｒｓｂｙＭＯＣＶＤＵｓｉｎｇＰａｔｅｒｎＲｅｃｏｇｎｉｔｉｏｎａｎｄＡｒｔｉｆｉｃｉａｌＮｅｕｒａｌＮｅｔｗｏｒｋＭｅｔｈｏｄＹａｎＬｉｕｍｉｎｇ1(严六明)ＥａｓｔＣｈ...关键词:......
is exploited to find the direction and activity of objects. Feed forward neural network (FFNN) [21] is one of the widely used artificial intelligence models to perform the classification using two important...J. Cent. South Univ. (2017) 24: 2071-2081 DOI: https://doi.org/10.1007/s11771-017-3616-4 Hybrid tracking model and GSLM based neural network for crowd behavior recognition Manoj Kumar, Charul......
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comprehensive evaluation methods [4-5], artificial neural network (ANN) methods [6-7], extension theory- based methods [8-9] etc have extensive applications in safety status recognition and evaluation...J. Cent. South Univ. Technol. (2011) 18: 633-641 DOI: 10.1007/s11771-011-0741-3 Application of extension neural network to safety status pattern recognition of coal mines ZHOU Yu(周玉)1, 2, 3, W......
, inlet and outlet water to the SAG mill and work index are studied. A total number of 185 full-scale SAG mill works are utilized to develop the artificial neural network (ANN) and the hybrid of ANN...; sensitivity analysis; artificial neural network; genetic algorithm Cite this article as: Hoseinian Fatemeh Sadat, Abdollahzadeh Aliakbar, Rezai Bahram. Semi-autogenous mill power prediction by a hybrid neural......
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