Gaofeng Zheng

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In this paper, a new back propagation (BP) algorithm with adaptive momentum is proposed, where the momentum coefficient is adjusted iteratively based on the current descent direction and the weight increment in the last iteration. A convergence result of the algorithm is presented when it is used for training feed forward neural networks (FNNs) with a(More)
A gradient method with momentum for two-layer feedforward neural networks is considered. The learning rate is set to be a constant and the momentum factor an adaptive variable. Both the weak and strong convergence results are proved, as well as the convergence rates for the error function and for the weight. Compared to the existing convergence results, our(More)
In this paper, we study the convergence of an online gradient method with inner-product penalty and adaptive momentum for feedforward neural networks, assuming that the training samples are permuted stochastically in each cycle of iteration. Both two-layer and three-layer neural network models are considered, and two convergence theorems are established.(More)
In this paper, a Bayesian classifier for modeling consumer response to direct marketing is constructed based on a novel genetic algorithm (GA). To evaluate the performance of this model, we test it with a large amount of validation data of direct marketing and compare the results with other benchmark methods, including Recency-Frequency-Monetary (RFM)(More)
In this paper, a squared penalty term is added to the conventional error function to improve the generalization of neural networks. A weight boundedness theorem and two convergence theorems are proved for the gradient learning algorithm with penalty when it is used for training a two-layer feedforward neural network. To illustrate above theoretical(More)
Polymeric solution pendant at the outlet of a capillary can spray in the forms of single-jet, multi-jet, drop, and atomization under an actuated pulse voltage in near field. The electrohydrodynamic (EHD) spraying mode depends on electric and mechanical stresses, which are related to physical properties of applied solution and collector, on the liquid(More)