Papers by Author: Chang Jun Zhu

Abstract: At present, with the popularization of higher education and acceleration of college students every year, colleges and universities are increasing scale. Expansion of the scale for colleges and universities on the one hand, broadens the scope for development, on the other hand it also brings many problems, including the issue of the quality of teaching which is particularly prominent. Owing to the problems existing in the previous system of teaching quality, based on the teaching characteristics, a new multivariate teaching quality evaluation model is set up by means of GM(1,N) theory. And the application processes of the model are illuminated in detail. The model is applied into the evaluation of teaching quality. By analyzing a lot of practical examples, the experiment result indicates that this mathematical model has better appraisal effect than other appraisal model, which can overcome the complexity of traditional evaluation model. Compared with other methods, this method is scientific, simple and operable. And its structure and method will have a bright future.

Abstract: With the development of social, economic, groundwater pollution is becoming a concern in our country. In view of the defiency of traditional finite difference method, in this paper, a proposed hybrid finite analytic method was adopted to solve the problem about groundwater pollution. Testing with some examples and contrasting with finite difference method, we can get the conclusion that the hybrid finite analytic method is available.

Abstract: In view of the abnormal phenomenon that a flood peak increased in August 2004 and July 2005 along the lower Yellow River, the mechanism of this abnormal phenomenon is studied. It is found that the flood increase was due to the decrease the channel roughness in the propagation of high concentrated flood carrying the extra fine sediment which was discharged from xiaolangdi reservoir. In view of this, the equation of drag reduction rate is derivated under variable k pattern, and is applied to the reality. The results show that the equation is reliable and has important role in flood control and calculation in water level with hyperconcentration flow. The study of this paper only is a try and discuusion, and need to be improved.

Abstract: In view of the problem that the predictive results of flow quantity are not ideal for the predictive models at present. Based on the chaos identification to the flood system, chaos BP neural network model are developed combined chaos theory and BP neural netwok, flood sequences are disposed by phase-space reconstruction to be as training sample. Network structure can be determined by Matlab toolbox. The established chaos BP model is used to predict the phenomenon of peak value for Huayuankou hydrometric station in 2006. The results show that the predictive model combined chaos theory and BP neural network, has certain reference value to improve flood forecasting accuracy as a new attempt.

Abstract: In order to visualize the water control planning, optimization of Matlab is embeded into VB programe. Friendly man-machine interface can easily realize the integration of data analysis and water pollution control optimization which can form the visualization software related to water pollution control programs. Examples are shown that combination of the two programmes can greatly enhance the grade and accuracy of planning to improve the work efficiency. The potential applications of the combination of VB and Matlab are discussed in final discussion.