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Chen H.,Qufu Normal University | Wang Y.,Qufu Normal University | Zhao H.,Shandong Water Polytechnic College
Operations Research Letters | Year: 2012

In this work, we mainly establish the finite convergence of the projected proximal point algorithm for generalized variational inequalities under a weak sharp condition, which extends the corresponding result for the classical variational inequalities. © 2012 Elsevier B.V. All rights reserved. Source

Yu T.-T.,Tianjin Polytechnic University | Xiu C.-B.,Tianjin Polytechnic University | Liu Y.-X.,Shandong Water Polytechnic College
Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012 | Year: 2012

Scientifically prediction of some statistical data in practical production can guide mission planning and scheduling, policy-making and emergency treatment. A new dynamic prediction network is proposed to improve the prediction performance of conventional method. The prediction network is composed of many chaotic operators, and its control parameters are optimized by genetic algorithm. The dynamic characteristic of the network can be changed to follow that of the system predicted. The prediction results of actual data, such as passenger traffic, freight traffic, goods volume, and passenger volume, show that the method is valid, and it has good predictive ability and precision. © 2012 IEEE. Source

Xiao H.,Shandong Water Polytechnic College | Hu J.L.,Dalian University of Technology | Wang G.L.,Dalian University of Technology | Wang B.D.,Dalian University of Technology
Applied Mechanics and Materials | Year: 2013

Industrial water requirement is usually influenced by multiple factors, among which have close relations, which can cause distortion of some forecasting results, and weaken the suitability of some formulas. To this end, we adopt BP neural network model, use principal component analysis (PCA) to analyze the relationships between variables of the model to solve the related issues between the various factors, in order to set up forecast model of industrial water requirement and take Zhengzhou City as an example to analyze. The results showed that this method could take the influenced factors of industrial water requirement into consideration comprehensively, offer higher and more accurate forecasts, and provide the reference framework for integrated planning of regional water resources and long-term water supply planning. © (2013) Trans Tech Publications, Switzerland. Source

Xiu C.,Tianjin Polytechnic University | Liu Y.,Shandong Water Polytechnic College
Proceedings of the 29th Chinese Control Conference, CCC'10 | Year: 2010

An associative memory network with hysteretic property and chaotic property synchronously are proposed. The neurons in the network have new activation function, which is composed of two Sigmoid function translated. Hysteretic response can be obtained in the neuron. The hysteretic property helps to avoid changing the state of the neuron mistakenly. The self-feedback weight is added, and the bifurcation processes, leading to chaos, can be exhibited with the parameter variation. The network based on this neuron model can be applied to resolve associative memory problems, and can get over some disadvantages in the conventional neural network, such as local minima, fault saturation and so on. Simulation results proved that the neural networks have good information processing ability. Source

Wang M.,Shandong Maohua Silicon Project Co. | Zhang B.,Shandong Water Polytechnic College | Zhang J.,Shandong Water Polytechnic College | Wang F.,Shandong Maohua Silicon Project Co.
Tezhong Zhuzao Ji Youse Hejin/Special Casting and Nonferrous Alloys | Year: 2010

Aiming at the elbow characteristics, two kinds of assembly schemes were designed to comparatively analyze the potential problems in the assembly schemes. The qualified product was produced by modifying the assembly scheme. Technologies should be taken into account comprehensively in determining assembly scheme for investment casting. Source

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