Mingyue Zhu
China University of Petroleum
Network modelGradient descentError functionApplied mathematicsComputer scienceArtificial neural networkRate of convergenceFunction (mathematics)Norm (mathematics)Conjugate gradient method
1Publications
1H-index
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Publications 1
Newest
Aug 15, 2018 in ICIC (International Conference on Intelligent Computing)
#1Mingyue Zhu (China University of Petroleum)H-Index: 1
#2Tao Gao (China University of Petroleum)H-Index: 3
Last. Jian Wang (China University of Petroleum)H-Index: 15
view all 5 authors...
Elman neural network is a typical class of recurrent network model. Gradient descent method is the popular strategy to train Elman neural networks. However, the gradient descent method is inefficient owing to its linear convergence property. Based on the Generalized Armijo search technique, we propose a novel conjugate gradient method which speeds up the convergence rate in training Elman networks in this paper. A conjugate gradient coefficient is proposed in the algorithm, which constructs conj...
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