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Customer value is the value that based on customer's perceived value, which is a comprehensive comparison between perceived benefit and perceived cost. There are closely relationship of customer value and enterprise performance. The improvement of customer value contribute to enterprise performance. Based on the above theoretical analysis, the customer value was divided into 3 types that is "good",...
This paper uses GMDH method to establish a prediction model to forecast the output value of transport & storage of Guangdong 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...
Tourism environment is the base of the development of tourism industry. The evaluation on the environment quality of tourism destination can maintain and promote the quality of the eco-environment of the tourism destination. In this paper, the evaluation system of eco-agriculture tourism is set up and Neural Networks Method is used for the environmental quality assessment of eco-agriculture tourism...
In macro investment, an investment decision model is established by using an improved back propagation (BP) artificial neural network (ANN). In this paper, the relations between elements of investment and output of products are determined, and then the optimal distribution of investment is determined by adjusting the distributions rationally. This model can reflect the highly nonlinear mapping relations...
Economic security has been a serious problem which threatens and hampers the sustainable growth of the economy. The paper sets up appraising indicator system of economic security on the basis of PSR model, and researches economic security for 21 coal cities by using BP artificial neural net. As innovation of researching economic security, BP artificial neural net has the better ability in level identification,...
This study assesses the predictability of neural networks to estimate the cost of thin-film transistor liquid-crystal display (TFT-LCD) equipment. Newly completed equipment-development projects are provided by departments in a Taiwanese high-tech company. Cross-fold validation method is applied to measure model performance and reliability. Analytical results show the generalized regression neural...
Wavelet neural network is a neural network combining the wavelet theory with neural network theory, which avoids nonlinear optimization problems such as blindness of the design of BP neural network structure and local optimum, greatly simplifying the training. The use of wavelet neural networks to forecast regional logistics demand provided an important reference for regional logistics systematic...
Pig industry is the core of Chinese agriculture, so training and developing green suppliers for pig industry can contribute to the protection of agricultural environment, and ensure the quality and safety of agricultural products to raise the level of quality and efficiency of agricultural products. This article provides a three-tiered evaluation indicator system from four respects including supply...
Traditional method about forecast of energy demand, Trend Extrapolation, can't study the information supplied with date effectively, and BP neural network has the great power of goal learning, which can dig potential function in the date. The article design the GDP and other factors as input variables, and use steepest descent back propagation to adjust the weight and threshold of network. We choose...
In this paper, a wavelet-neural-network-based forecast model is developed for energy demand in China. Combining qualitative with quantitative analysis, we analyze some main factors affecting energy demand in China. A first order wavelet-neural network forecasting model with time-delay is established, including population, GDP, variation of industrial structure and energy consumption. The simulation...
The case selecting of tax check in real estate industry has been the subject of considerable research effort in recent years. In this paper, we propose Wavelet neural networks (WNN) for it, which used in many fields because of their advantages over neural network and wavelet analysis as they achieve faster convergence and discriminance more precise. A suit of evaluation indices are constructed as...
It is difficult to accurately analyze forecasting of tax income. This thesis establishes a tax forecasting model based on BP neural network to analyze impacts imposed on tax income by changes of the following economic factors: industrial added value, total investment in fixed assets, total volume of import and export, total volume of fiscal expenditure, resident consumption level, etc. The thesis...
The sustainable and rapid development of Chinese economy objectively brings forward new requirements for operating capability and development potential of Chinese logistics industry. Under the background, the paper used advance neural network method to establish a decision-making model of operating capability of Chinese logistics industry, and made efficient examining through real logistics data....
MICE, a tourism product has a high marginal profit and a strong benefit linkage, at the same time, its potential risks are coming too. It is essential for enterprises to learn how to identify and keep away from risks; itpsilas in order to survival and development. This paper will research the system optimization of BP neural network technology used in the MICE risk management system, and we establish...
The paper focuses on the evaluation of the development situation of commercial service industry in Beijing. First, the evaluation indexes are established, and the grey correlation method is used to analyze the correlation degree on the commercial service industry indexes. Then, the elastic coefficient model of commercial service industry in Beijing is established to compare the development level of...
Traffic demand forecasting is the indispensable process of capacity and resource optimal allocation of comprehensive transport corridor. As such, it is derivate by social and economy activities. The steps of traffic demand forecast of comprehensive transport corridor in this paper is as follows; Step1: Using principal component analysis as a pretreatment to filter out the critical factors that affect...
This study applies the artificial neural network technique to explore the influence of the patent performance upon the market value of the pharmaceutical companies in US. The result shows that Herfindahl-Hirschman Index of patents has the negative influence upon the market value of the pharmaceutical companies in US, and the technological independence has the positive influence upon their market value...
The fast development of the city economy need requires the efficient and logistical supportive service provided by the modern logistic system for the entire course. The spiral propulsion relation between the modern logistics and the city economy represents the characteristics of the cooperating development. In this essay the inner coupling mechanism and stages of the city logistics and economic development...
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