Power grid basic construction project cost prediction method based on multi-core support vector regression

A support vector regression and engineering cost technology, applied in forecasting, information technology support systems, instruments, etc., can solve problems such as inability to effectively obtain regression functions and inaccurate forecasting, so as to save company construction costs, control infrastructure investment, and improve The effect of enterprise economic benefit and management benefit

Active Publication Date: 2013-02-13
GUANGDONG POWER GRID CO LTD
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Problems solved by technology

[0004] The traditional support vector regression machine can effectively predict the data on the data set of a single stable data source with given parameters, but in the face of more complex heterogeneous data, the traditional support vector regression machine is difficult because it only uses a

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  • Power grid basic construction project cost prediction method based on multi-core support vector regression
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  • Power grid basic construction project cost prediction method based on multi-core support vector regression

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Embodiment Construction

[0022] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0023] With the continuous development of machine learning methods, especially Support Vector Regression (SVR), SVR has made remarkable progress in the field of cost prediction. Support vector regression machine is built on the basis of statistical learning theory, overcomes many shortcomings of neural network and traditional parameter methods, does not require prior knowledge of specific problems, and can well control the learning machine in the case of limited training samples. Promotion ability.

[0024] In addition, the performance of support vector regression machine mainly depends on the choice of kernel function. Using the Kernel trick, we can design and use different kernel functions to measure the similarity of samples in different feature spaces; at the...

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Abstract

The invention discloses a power grid basic construction project cost prediction method based on a multi-core support vector regression. The method comprises the following steps: carrying out attribute pretreatment on descriptive data of a transmission and distribution project, and using a basic kernel function to calculate a multi-core matrix, wherein the attribute pretreatment comprises the steps of standardization of continuous variables and type conversion of enumerative variables; constructing a prediction model of the multi-core support vector regression, and optimizing a regression parameter of the prediction model and the weighing of the multi-core matrix; and utilizing the prediction model to carry out cost prediction by taking data obtained from the attribute pretreatment as a sample to be tested. According to the application of the method, the power grid basic construction project cost can be reasonably predicted so as to facilitate construction management personnel to improve the budget estimate making precision; and therefore, the basic construction investment is efficiently controlled.

Description

technical field [0001] The invention relates to data mining technology, in particular to a method for predicting the cost of power grid infrastructure projects based on a multi-core support vector regression machine. Background technique [0002] In recent years, the construction pace of the power grid industry has been rapid. In 2010, the investment in power grid construction was 45.4 billion yuan, and in 2011, the investment in power grid construction was 29.7 billion yuan. Affected by the internal and external environment, there is an urgent need to reasonably control the project cost of the power grid and improve the lean level of power grid infrastructure project cost management. [0003] External environment, in recent years, the CPI (Consumer Price Index, consumer price index) index has continued to rise, and the prices of major equipment and materials have risen rapidly. Submit the relevant cost analysis materials of typical projects; internal environment, the balan...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCY04S10/54Y04S10/50
Inventor 杨晶晶李隽齐志刚萧展辉金波赖启结谢榕昌杨眉张雨刘冬根谢文景
Owner GUANGDONG POWER GRID CO LTD
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