Advanced Materials Research Vols. 143-144

Abstract: Generally, the power load forecasting sequence has stochastic growth and nonlinear wave characteristics, grey SVM can effective reflect the growth properties of the sequence and fit the nonlinear relation. The whole forecasting precision of the sequence was optimized, and the transfer matrix for the forecasting sequence was decided, then the accuracy for power load forecasting was greatly improved. Through the demonstration test, the precision is better than single method, the method in this paper have feasibility in practice.

Abstract: The dynamical behavior for nonautonomous is complicated.So, even if some basic concepts in the dynamical theory for nonautonomous systems are still undergoing investigations and need to be further developed. And Lyapunov functions play an important role in the study of the stability theory and control theory. In the view of the use of Lyapunov method, this paper is concerned with a converse theorem of Lyapunov exponential stability theorem. First, we show the content of the theorem, and then the proof is given.

Abstract: The urban surface runoff pollution is a very complicated process of multimedia, spatiotemporal multidimensional and multi-pollutants. On the basis of monitored pollutant loads of urban surface runoff at a catchment in Futian River watershed in Shenzhen City of China, a regression model of pollutant loads of urban surface runoff with rainfall physical parameters was established, in which the rainfall parameters include rainfall depth (h), average intensity (I), antecedent dry period (D), event duration (T), maximum instantaneous intensity (IMAX) and maximum 5 minutes average intensity (I5min). In the study area, the variable found to be most significant in the prediction of the pollutant load for COD, SS, TN and TP was the rainfall depth. Other rainfall parameters have different contribution to the pollutant loads.

Abstract: This paper investigates a comprehensive system to apply the spatial-temporal grid method based on a visual, virtual model to collect adequate information for an in-depth understanding of pedestrian behavior affected by the landscape elements in an empirical study of the Hubin Road area (closed to West Lake) of Hangzhou, Capital of Zhejiang Province, one of most famous tourist cities in China. Using some well-known benchmarks of pedestrian practices, the paper presents the temporal distributions of walking activities and behaviors. This paper has four parts: (1) introduces the present research on the spatial-temporal method and the problems with the concept to analyze the effects on the pedestrian behavioral study, (2) defines the new model assembled by spatial modeling linked QTVR technology for presenting pedestrian behaviors in central sightseeing destinations, (3) summarizes the results of sequential pedestrian movement collected from the spatial-temporal grid investigation and the virtual experiences during sightseeing and strolling activities on the case study area, and finally, (4) make suggestions for the spatial planning of the study area, and implementing a vision of future studies based on this system.

Abstract: The accurate prediction of the wind energy distribution over terrains is important for making an appropriate selection of a suitable site for installing wind power plant. In this study, numerical simulations of the two-dimension hill over smooth and roof surface have been done using three different turbulence model :standard model and other revised models ,and the simulation results have been prepared with wind tunnel experiments ,in order to obtain the best turbulence model

Abstract: The fast multipole boundary element method (FM-BEM) has been successfully applied to 2D and 3D large scale elastostatic problems and efficiently reduce the computing operations and memory requirements. In this paper, the FM-BEM based on Taylor series expansions is applied to 2D Potential Problems, the FM-BEM for 2D Potential Problems is presented and relative mathematical foundation is developed.

Abstract: This paper uses GMDH method to establish a prediction model to forecast the output value of transport&storage of Guangxi in China, since the original samples of the output value of transport&storage are less enough to be used with the traditional methods. Compared with traditional linear regression and artificial neural network, the predicted results show that GMDH method is an effective way to predict car ownership with a small sample of history data in the complex economic system.

Abstract: The second-order matrix eigenvalue problem is discussed by means of the nonlinearization of the Lax pairs,then based on the Bargmann constraint between the potential and the eigenfunctions,a new finite-dimensional Hamilton system is abtained by nonlinearization of the eigenvalue problem and the involutive solutions of the evolution equations are abtained

Abstract: This paper studies one method of cloud model to effectively limit the using Ant-colony Algorithm into local optimal solution, and experimental results show that this Ant-colony Algorithm can improve the speed of global search and optimal performance significantly.

Abstract: By analyzing and deducing generalized constraint neural network (GCNN) with model some present theories, the identification method of the m-input n-output (MINO) and multiple-input multiple–output (MIMO) systems is acquired. It is possible to improve the transparency of the black box through the practical test. This identification method is useful to enhance identification of GCNN model’s parameters, moreover, the identification ability of the neural network black box system model is further made better.