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This paper presents a comparison between listwise and pointwise approaches for instance ranking using Multiple Linear Models. A theoretical review of both approaches is performed, including the evaluation methods. Experiments done in seven datasets from 4 different problems show that the pointwise approach is slightly better or similar than the listwise approach. However the models obtained with the...
Through the linear regression model and grey model GM (1, 1), this article predicts China water resources situation in 2025, so as to determine the optimal water strategy, and achieve the optimal allocation of water resources. We establish the linear regression model about the per capital water resources quantity. Then, the water shortage and water shortage degree of each province in 2025 can be calculated...
This paper presents a multi-objective formulation for variable selection in calibration problems. The prediction of protein concentration on wheat is obtained by a linear regression model using variables obtained by a spectrophotometer device. This device measure hundreds of correlated variables related with physicochemical properties and that can be used to estimate the protein concentration. The...
This paper presents a prediction model applicable to aircraft fault maintenance sorties forecast of airlines, discusses detailedly the determine of various forecast parameters, and through the long-term contrast with the actual data, to prove the validity and accuracy of the prediction model for predicting. It has a positive meaning for saving the airline ground handling maintenance costs, and even...
This topic using SPSS software guangan of 1999 ∼ 2009 data of land change the correlation analysis, and the cultivated land and other land factor analysis of the relationship, and concludes that the long-term impact of cultivated land change the most main factor is construction land. Through the use of a linear regression model to construction land and land related analysis, and the use of a linear...
Energy efficiency of data centers has attracted wide research attention with growing concern for power consumption and heat dissipation. Map Reduce as an efficient programming model for data-intensive computing is increasingly popular among industrial companies and academic organizations. As Map Reduce is developed specifically to process large-scale data analysis, its impact on energy efficiency...
With the increase of residents' incomes, urban residents' domestic consumption rises significantly and the proportion of consumption in the whole society also increases day by day. On the basis of analyzing the influence factors of urban residents' domestic consumption, the article takes Yantai as an example and collects the data from 2001 to 2008. The article chooses urban residents' disposable income...
Based on the reality of government administrative expenses, the article designed the theoretical models of government administrative expenses to predict the future cost of government—the basic criteria for administrative expenses, and came up with the corresponding proposes according to the basic analysis of Chinese government's expenses. The basic idea is: based on the actual expenditure of the Chinese...
As for evaluating an administrator of a library, library lending is an important indicator. Furthermore, if library lending can be known previously, then the information may help an administrator make the annual plan. The change of library lending depends on the change of the number of readers and on the change of the books that a library possesses. Library lending has a strong association with the...
Total productive value of Real estate is a crucial part of the Service Industry, which directly affects the value of GDP. It is significant to predict the added value of the total productive value of Real estate, by historical observed data and dynamic regression equations. Compare dynamic regression equations with genetic algorithm to regression equation from exponential regression and linear regression...
Predicting residual life of cable plays a key role in ship management. In this paper, the Grey Linear Regression Model is used for residual life prediction of shipboard cable under influence of multi-factors. The method is proved effectively by the comparison between the actual aging data and the data acquired by the traditional Arrhenius Equation.
Assessing typhoon losses quickly is the foundation to allocate and deliver relief supplies for helping disastrous people pull through difficulties during the process of typhoon and post-disaster immediately. Therefore, a new method for predicting typhoon losses based on back-propagation neural network is presented by using typhoon characters data, historic typhoon loss data, relative geographical...
Carpet customers want a product of which the appearance lasts for years. Therefore, carpet manufacturers certify their products with labels that represent the expected change in appearance after the first year of installation. No automated system exists yet for objectively assigning these ranks. In this approach, we present an automated method for assessing carpet wear based on image analysis. For...
A number of models have been used for estimating frequency of accidents. Weighted and simple linear regressions are common and in the recent years artificial neural network models have also been used as prediction models of accidents. Researchers need to select and use some models with the best performance particularly with the minimum of mean square errors. In this paper, traffic volume, surface...
The main purpose of this paper is to predict stream-way transition with group method of data handling (GMDH). Therefore, the downstream stream-way transition according to the upstream conditions is forecasted by group method of data handling. Five main factors may affect the stream-way transition include inflow position, inflow angle, slope, flow discharge, and sand content of suspended sediment....
Trust is very important to semantic Web. We propose a trust model of semantic Web by using classic linear regression models, time series models and vector auto regression generalized autoregressive conditional heteroskedasticity models. First, we discuss the background and related work about trust in semantic Web. Then the management of uncertainty is analyzed. At last, we give the prediction algorithm...
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