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This study explores the application of artificial intelligence on the causal relationship between mining production index and electricity load. The data used is the total mining production index and total electricity consumption in the mining sector sampled on a monthly basis from January 1985 to December 2011 in South Africa. Optimally-pruned and basic extreme learning machines were used to develop...
Endmember variability associated with impervious layer has been a serious problem in spectral mixture analysis (SMA). A reliable spectral library which ideally models the endmember variability is required for precise SMA. Even though many endmember bundles extraction algorithms have been proposed, there are still some problems in these methods which blur the threshold and endmember numbers. In this...
As an effective biclustering model, order-preserving submatrix (OPSM) has been widely applied to biological gene expression data mining. Recently, biologists hope to find deep OPSMs with long patterns and comparatively few support rows, which are not only useful on the interpretation of gene regulatory networks but also have essential biological significance. Unfortunately, the traditional exact mining...
Along with the development of electronic and intelligence in the world's stock market advances, the accumulation of the stock data grows larger over time. It is of great concern on the ways to find the hidden rules of information in the mass of data. Given the background above, this paper explores the methods of data mining by using the combination of Decision tree algorithm and Clustering algorithm...
The research system of data mining and analysis for statistics in Qinghai Province is a manifest analysis, inquiry, and service system built up upon the existing network of the provincial statistics bureau with the increasing national, local and social concern on statistics and the rapid expansion of the statistic information and aiming at meeting the needs of governments for statistic information...
Farmers are the main financing of rural financial markets, in rural financial institution, lending is based on the credit status of the farmers, so the evaluation of their credit level is always the focus of the theory field and the practical field. A reasonable credit evaluation index system is the prerequisite for scientific credit evaluation. In this study, association rules technology which is...
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both effective and efficient. Among different kinds of machine learning models, kernel methods are well accepted since they are more robust and accurate than traditional models, such as neural networks. However, learning from...
We propose a new approach for analyzing the Japanese government bond (JGB) market using text-mining technology. First, we extracted the feature vectors of the monthly reports from the Bank of Japan (BOJ). Then, the trends in the JGB market were estimated by a regression analysis using the feature vectors. As a result of comparison with support vector regression and other methods, the proposal method...
A model is presented for describing the conductivity dependencies of p-type thin film sensors from oxygen and CO pressures. The model basis on the kinetic equations, composed for the processes of dissociative ionization of O2 and oxidation of CO on the surface, and taking into the account the charge balance between the adsorbed species and the hole accumulation layer. The model results are in agreement...
Nowadays, the interrelationship study issues between energy consumption and economic development draw researchers' attention to study deeply in the world. We must find out what correlation exists between them. The problem which makes decision analysis solve the energy and the economy in according to researchers has become an important content of the coordinated development. Beijing, as the capital...
We propose a set of methods aiming at extracting large scale features of road traffic, both spatial and temporal, based on local traffic indexes computed either from fixed sensors or floating car data. The approach relies on traditional data mining techniques like clustering or statistical analysis and is demonstrated on data artificially generated by the mesoscopic traffic simulator Metropolis. Results...
The selection of Client is the key point of the operation in port, select an excellent client will make the use of resource more reasonable, and increase the benefit of port. A system of evaluation and selection indexes for coal client selection is put forward based on the fact of Qinhuangdao Port Group, and establish a model of the selection of coal client, then use rough sets extract the decision-making...
This paper uses GMDH method to establish a prediction model to forecast the number of civil vehicles owned in Guangxi, since the original samples of the civil vehicle population of Guangxi 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...
In order to evaluate water resources capacity, a new assessment model based on cloud theory is proposed. Considering the fuzzy feature in assessment, evaluation model based on variable fuzzy sets that can consider the good and bad characters of indexes is established. The method is developed to evaluate water resources carrying capacity in Taohe basin, and the results show that new evaluation methods...
In this paper, we apply data mining technology to Chinese stock market in order to research the trend of price, it aims to predict the future trend of the stock market and the fluctuation of price. This paper points out the shortage that exists in current traditional statistical analysis in the stock, then makes use of BP neural network algorithm to predict the stock market by establishing a three-tier...
Along with the deepening of the state-owned business remanufacture, more and more state-owned businesses have implemented the reform of the stockholder's rights multiplication. The whole employee stock ownership as one form of the stockholder's rights multiplication is also being applied widely. In the whole employee stock ownership enterprise, the factors such as the contradictions of staff's dual...
First, this article looked back upon the channels that the stock market affects the real estate's disbursement and made a brief literature summary on the effect that the stock market brings about to the real estate's disbursement. Next, the article put up a linear model on the basis of Modigliani life cycle model, which shows the stock market's effect on the real estate's disbursement, and carried...
On base of analyzing the situation of recycling economy of coal enterprises and establishing the principle of indication system, an evaluation-index system was established, which included four levels structure (economy development, resource utilization, social development and recycling system) and twenty-two indications. According to comparing all kinds of methods of recycling economy, and considering...
With international practice and needs of business own development, it's has become more and more common to carry out EPC project in enterprises' contract. Comparing with the traditional patterns of contract, the owners will not involve in the specific process of project in EPC model, so the decision risk of the owners is increased. Through analyzing of EPC contract model, to the ambiguity and uncertainty...
To meet the requirements for being geared to the international standards and to meet the demand for self-development of an enterprise, it becomes more and more common for an enterprise to execute EPC projects. The EPC model compares with the traditional contract model, the risk of general contactor is the biggest undoubtedly. Through the analysis of the EPC model to determine the risk source and loss...
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