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English education has become a key issue in education in China. This article establishes a model for cost of English education investment, analyzes the current situation of English education investment in China, and finds out the problems in English education. In this article, the author presents several measures like extensive mobilization of multiple subjects to involve in English education investment,...
Many methods have been employed to study Land Use Change (LUC) in different areas, including some new algorithms from Artificial Intelligence (AI) field, such as Case-Based Reasoning (CBR), Artificial Neural Network (ANN), Bayesian Network (BN) and Support Vector Machine (SVM). Applications of some new methods have indicated both advantages and limitations. This paper presents a comparison between...
Sports industry has a high correlation with other sectors of the national economy. At the same time, there is correlation within the sports industry. This paper makes a comparison analysis on China's sports industry in 2007 and 2008 by constructing a sports industry symbiotic model and symbiotic capability evaluation index: symbiotic degree, symbiotic coefficient and symbiotic capability index. It...
In the past, the accuracy of forecasting coal demand is not very satisfactory. In this paper, rough set for the coal demand factors affecting the reduction, the core factors extracted using BP neural network to predict, through the results of China coal demand forecast can be seen that the value of history fit very well, indicating that this model has better scientific and rationality. Finally, the...
As the internationalization of education model, the bilingual teaching is more popular in college and university in China. From understanding of the connotation and the bilingual teaching mode and combining with the features of Shanghai Institute of Foreign Trade e-commerce English teaching practice, it is proposed in this paper a reasonable evaluation system of bilingual teaching model based on four...
This paper studies the nonlinear relation between the balance of trade and the affection factors. The nonlinear regression model for the balance of trade is constructed by random forest (RF) method. Moreover, the ranking of importance for affection factors is given out. The empirical results in this paper reveal the balance of trade in China is affected mainly by M2, GDP, CPI, Exchange reserves, M1...
Educational Economics and Management is a new cross-discipline subject in China. Curriculum is the carrier to realize the goal of cultivating postgraduate education and it is the key to protect and improve the quality of education. This research discusses curriculum system construction of the master of Educational Economics and Management, following the “status quo analysis-found problem-to solve...
In this paper, we focus on the human accumulation problems in China; In order to realize the rapid development of China's economic we must know the problems exist in China's human capital accumulation. On the basis of previous theories presented in Section 2, the human capital accumulation's effect to China's economic growth and its existing problems are discussed in Section 3 and Section 4. By using...
On the basis of the investigation about the undergraduate education of well-known universities in China and USA, we make a conclusion about characteristics of Industrial Engineering's undergraduate educational pattern in China and America. And using comparative method, researchers analyze the different points and comparisons of the undergraduate educational type of industrial engineering (IE) in China...
Through studying the informatization index systems of both domestic and foreign enterprises, this essay sets up an informatization evaluation index system for enterprises in Henan Province, based on their essential characteristics and present situation. The evaluation index system includes application status of informatization, construction level of enterprise infrastructure, strategic planning level...
The prediction of urban water demand using a small number of representative properties is fundamental in evaluating carrying capacity of water resources. Artificial neural networks (ANNs) have recently become popular tools in the prediction of urban water demand. In this paper, an iterative method which combining the strength of back-propagation (BP) in weight learning and genetic algorithmspsila...
The north of Jiaozhou Bay has become the important region for the development strategy of Qingdao in China, because the development space of the old city district gets saturated. The Moshui River will become the main contaminated river of this area. Neural network was used to build the water quality prediction model of the discharge outlet of the river to predict the concentration of COD, ammonia...
In this paper, a novel artificial neural network ensemble rainfall forecasting model is proposed for rainfall forecasting based on K-nearest neighbor nonparametric estimation of regression. In this model, original data set are partitioned into some different training subsets via Bagging technology. Then different ANN algorithms and different network architecture generate diverse individual neural...
The eutrophication of Lake Chaohu is long-time integrated and the accumulative effect of pollution load, hydrological regime and exterior condition and so on are examined. One of the direct reasons leading to deterioration of the hydrological situation is the gate dams regulation. As the large-scale water transfer project of water resources allocation in Anhui Province in the new century, the Yangtze...
This paper analyzes the status quo of investment in on-the-job training based on the field data from large and medium- sized enterprises in Wuhan City, China. Major findings include: (1) there is a lack of high-tech employees with a great demand for on-the-job training, (2) insufficient attention is paid to on-the-job training by enterprises and, (3) the methodology of training is inappropriate and...
Along with its rapid economy expanding, China is also facing the increasingly serious problem of cultural eutrophication. As part of the eutrophication research activities, applications of mathematical models are also widely used in China. In recent yearspsila researches, there is a growing tendency to use artificial neural networks (ANNs) to complement or even replace empirical models, among which...
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