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In this paper, we discuss SIR epidemic models with vertical transmission and impulsive vaccination which may inherently oscillate. We obtain the conditions for which the epidemic elimination solution is globally asymptotically stable. On the other hand, by the impulsive bifurcation theory, we prove the existence of a stable positive periodic solution.
This article has carried on the simple introduction to the VAR meaning and the computational method, uses CAPM (capital asset fixed price model) to carry on the modeling to the financial property repayment, carries on the fitting using the EGARCH model to the financial property repayment undulatory property, has established the financial property risk value model. The real diagnosis analysis explanation...
Establish the geometric model of the pump body using the three dimensional modeling software based on the drawing pump parts. After a reasonable simplification, analyze and calculate the force of the pump body applying the traditional theory. Take the results as the boundary conditions for the software analysis. Introduce the model into the ANSYS software and calculate the stress and strain. Such...
On the stochastic models of economic optimization of Prof. Chen M F, this paper chooses Prescott's paradigm to analyze how optimally to allocate the investment of Jiangsu Province to coordinate the comovements of Jiangsu's transportation and non-transportation, acquires a optimal stochastic controllable model for the coordinated developing, finds a worthy Euler equation of this model, does a numerical...
Data sets resulting from metabonomics or metabolic profiling experiments are becoming increasingly complex, which is hard to summarize and visualize without appropriate tools. The use of chemometric tools, such as orthogonal signal correction (OSC), principal component analysis (PCA), partial least squares to latent structure discriminant analysis (PLS-DA), make the data dimensionality reduction and...
In this paper, the mathematic model of the optimum design parameter for automated pharmacy was put forward, and used a comprehensive learning multi-objective particle swarm algorithm optimize. The simulation experiment is given, which aimed at actual pharmacy case. The result of this paper provides that the algorithm can figure out multi-objective for the automated storage and retrieval system of...
Direct against the question of the agricultural structure of Haerbing, this text have set up the optimization model of the sustainable agricultural structure of this area after integrated survey of economy, ecology, society to optimize the model, utilize genetic algorithms improved to optimize the model, have offered the theoretical foundation for dependemand of Da Qing. The investigation has certain...
At present, using the computer to imitate the complicated circumstance of Urban rail transit, to study the theory and methods of Urban rail transit operation and control, is really an economical, reliable and safe method. Therefore, from the viewpoint of both academic research and realistic application, building and carrying out the test model of ATO (Automatic Train Operation) System is of strong...
ANN is the core of the 2rd and 3rd generation traffic flow forecasting algorithm. In order to master the traffic flow forecasting tendency comprehensively, this paper studied every kind of hybrid artificial neural network forecasting algorithms in detail, including ARIMA ANN model, fuzzy ANN model, GA ANN model, Chaos ANN model, Wavelet Analysis Model, Principal Component Analysis ANN model and Particle...
In this paper, we not only analyze the current characteristics of the urban rail transit affiliated commercial circles based on their operating status, but also propose measures on optimizing operating status of its logistics system, suggesting that the whole commercial circles should be jointed for the establishment of a unified logistics center, in which goods are distributed and recycled through...
Agricultural modernization is crucial for the economic development of agriculture. Technique for order preference by similarity to an ideal solution (Topsis) and artificial neural network (ANN) were employed to evaluate and predict agricultural modernization level. A three-layer ANN models were developed to predict agricultural modernization level. The models were compared using the mean absolute...
In a traditional data warehouse, the “subject oriented” means that all the elements (data attributes) relating to the same real-world event or object are linked together, the elements are classified and navigated by “subject”. But in scientific data warehouse, elements are “faceted classifications oriented”, users want to classify and navigate the elements by mutable classifications flexibly. It is...
The vehicle has a high harmful material emission during cold-start. It has a close relationship with temperature of the fuel. In this paper, a PTC-base injector is presented, which is embedded PTC material around the fuel ducts of common injector and powered by car inverter. The PTC material possesses a low resistance and quickly generates heat when its temperature is lower than Curie point. This...
In this paper, empirical study on the typical case of foreign investors' Merger and Acquisition was carried out. Investors' M&A motivation, macroeconomic environment in China and system factor of regulation for Foreign Investors' M&A are selected as three variables, Logistic Regression Model was used to analyze. The result shows that purpose of foreign M&A has gradually changed from sharing...
There are two challenges faced by orgnizational knowledge managemet: low efficiency of machine in processing knowledge and high cost of man when sharing own key knowledge within his organization. The semantic web technology improves the efficiency by machine readable knowledge representation and web2.0 theory cuts the cost through nurturing a mass-collabrative, self-organized and meta-synthesitive...
In this paper, based on a life model, vegetation coverage is simulated with different external conditions including vegetation mortality, soil degeneracy and vegetation growth power. The results indicate that an aired ecosystem also has a feedback system, where the vegetation cover is relatively stable unless the environmental change is sufficiently great. The increase of vegetation mortality and...
The car industry plays an important role in current China and has become a key industry of the national economy. Considering that car production is determined by many factors, this paper uses a GM(1,1) model to forecast Chinese future car production, analyzes the development trend of Chinese car industry through the forecast results and puts forward some suggestions.
Simulation has become on of the main means for solving production scheduling problem. This paper analyzed the basic characteristics of production scheduling system and all kind of production factors. Then, the corresponding Agent model of many production factors was established, and a multi-agent-system-based Architecture of production scheduling simulation system was brought up. At last, this paper...
This paper uses GMDH method to establish a prediction model to forecast the vehicles for business transport of Guangxi in China, since the original samples of the output value of transport & storage of Guangdong 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...
This paper builds a forecasting model of service marketing which was based on cluster analysis combining with decision tree, it depicts K-means algorithm, C5.0 algorithm of decision tree and design of building model, and applies the model on predicting whether a region users will accept the interactive service of cable television, by this way it finds the users group which shows the highest response...
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