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Transmission investment is important for integrating electricity markets operated by different countries/transmission system operators (TSOs). Turkey and Romania have proposed a transmission cable linking the transmission network between two countries under the Black Sea, but this investment has been found infeasible due to the insufficient technical and financial benefits to the countries/TSOs. Now,...
Recently, terrorist or rebel activity is experienced in many parts of the world. The objectives of the research are to design and develop an accurate predicting the distribution range radius and elapsing time of a terrorist situation. An Analytical Network Process (ANP) is used to classify salient quantitative and qualitative factors of the unsettled area, or terrorist behaviour. Then, the resulting...
Taking a Chinese north mining city as an example, through to systematic investigation and statistics for its economic data of 12 industry in recent 4 years, A complete set of index system for estimating economy status has been put forward, which comprises the profit ability, debt paying ability and development foreground of difference industry. The author has developed a set of fuzzy neural network...
In recent years, domestic and international oil and gas exploration in the oil fields made a high level of technology demands, oil companies working in the structure of scientific research and technological development and therefore a profound change occurred. Oil companies work on the evaluation of scientific and technological achievements have been undertaken for many years, the evaluation also...
The purpose of this paper is to build an available model and framework from GRNN neural network to evaluation the impact of FDI (Foreign Direct Investment) on China's economy security. The method used in the study is known as factor analysis and GRNN neural network analysis. Examining 20 years' (from 1990 to 2009) data, we set up an index evaluation system. We then analyze Chinese 20 years economy...
Researchers have known for some time that non-linearity exists in the financial markets and that neural networks can be used to forecast market returns. In this article, we present a novel stock market prediction system which focuses on forecasting the relative tendency growth between different stocks and indices rather than purely predicting their values. This research utilizes artificial neural...
Based on the analysis of the content, the evaluation index and the evaluation methods of the convergence of informatization and industrialization, this paper proposes an index system and an adaptable evaluation method, and also proposes a comprehensive evaluation model for converging of informatization and industrialization.
The low-carbon economy has become the mainstream of social development, but the energy use will inevitably produce high pollution and high emissions of gas with the high speed economic growth of manufacturing companies. Here, this network is introduced into the BP Energy Consumption of manufacturing companies. By description of the BP algorithm characteristics and analysis of the factors influencing...
Agricultural leading enterprises in the agricultural industrialization plays an important role, is the core of agricultural industrialization. The level of performance of Agricultural Leading Enterprises will have a direct bearing on the success of agricultural industrialization. In view of this, this paper based on BP neural network model and the traditional AHP to build Heilongjiang Province leading...
To meet the challenge of knowledge-based economy in the 21st century, scientifically evaluating the innovation capability is important to strengthening the international competence and acquiring long-term competitive advantage for Chinese enterprises. In the article, based on the description of concept and structure of enterprise's innovation capability, the evaluation index system of innovation capability...
The Forest resources are the basic material of forestry production, so forest resources quality directly impact on the forestry production and the multiple benefits of forest resources. The purpose of this study is to analyze and establish a BP neural network model of forest resources quality evaluation. Basing on the regional traits of forest resources and the demand of forest sustainable management,...
High-tech industry zone play a important role in the global economic system with the continuously new knowledge innovation, it's becoming the main motion of regional economic structure optimization and competition. The technology ability and diffuse effect of High-tech zone influence itself and regional economic development greatly. This paper design High-tech zone technology innovation ability appraisal...
It is the age of Economic Globalization at present. The process of industrial transfer brings far-reaching impact on the industry and the industrial structure, and it also affects the society stability of the area. This paper analyzes the impact on society stability of Henan Province which influenced by industrial structure in the few past years, and the stability is valuated by a BP neural network...
Sustainable development is regarded as the common goal of development by all the countries of the world. There are many approaches on evaluating the level of regional sustainable development. In this paper, back propagation artificial neural networks and GIS were applied to evaluate the levels of the sustainable development of 17 cities in Shandong province. Firstly, the writers choose 28 indexes...
The paper compares the performances between the back propagation (BP) neural network and the radial basis function (RBF) neural network in chaotic time series prediction with the Logistic equation, and the results show that the RBF neural network is better than the BP neural network. Further we apply the RBF neural network to predict the Shanghai Composite index that is chaotic according to the phase...
The evaluation and estimate of the loss and damage in earthquake disaster is an important factor for earthquake emergence and post-earthquake reconstruction decision-making. The article firstly selected the evaluation index for the economic loss of earthquake disaster by the method of factor analysis; then established the evaluation model of economic loss in earthquake disaster based on neural network,...
Since the reform and opening-up policy was put into effect, the "economic government" model which centers on economic development is no longer adapting the needs of China's economic and social development, and the restructuring from "economic government" model to "public service-oriented government" model is imperative. Based on the analysis of government functions and...
Since the subprime crisis, the variance of housing price is receiving increasing attention especially because of its complexity and practical applications. This paper applies the flexible neural tree model for forecasting the housing price index (HPI). The optimal structure is developed using the modified breeder genetic programming (MBGP) and the free parameters encoded in the optimal tree are optimized...
High-tech industry zone play a important role in the global economic system with the continuously new knowledge innovation, itpsilas becoming the main motion of regional economic structure optimization and competition. The technology ability and diffuse effect of High-tech zone influence itself and regional economic development greatly. This paper design High-tech zone technology innovation ability...
Considering the issues that the urban logistics system was an uncertain, nonlinear, dynamic and complicated system, and it was difficult to describe it by traditional methods, an urban logistics demand forecast method based on radial basic function neural network (RBFNN) is presented in this paper. We construct the structure of RBFNN that used for forecasting urban logistics demand, and adopt the...
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