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SVM-based scientific service industry output predication method

A forecasting method and service industry technology, applied in forecasting, instrumentation, data processing applications, etc., can solve problems such as deviation

Pending Publication Date: 2015-10-21
SHANGHAI DEV CENT OF COMP SOFTWARE TECH
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] The purpose of this invention is to provide a kind of SVM-based science and technology service industry output prediction method, to solve the deviation in existing statistics and prediction

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  • SVM-based scientific service industry output predication method
  • SVM-based scientific service industry output predication method
  • SVM-based scientific service industry output predication method

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Embodiment Construction

[0053] The present invention will be further described below in conjunction with accompanying drawings and examples.

[0054] A kind of SVM-based scientific and technological service industry output prediction method of the present invention comprises:

[0055]The selection of input and output index items of science and technology service industry. Selecting several representative input and output items of the science and technology service industry can represent the current development status and level of the science and technology service industry.

[0056] Collect input and output data of the technology service industry and establish a training sample set.

[0057] Establish a SVM-based forecasting model for the output of science and technology service industry.

[0058] Using the obtained model, a new forecast sample (input of science and technology service industry) is brought in, and the forecast structure (output of science and technology service industry) is output. ...

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Abstract

The invention discloses an SVM (Support Vector Machine)-based scientific service industry output predication method. Ten indicators including organization total number, employee number, scientific and technological staff number, scientific and technological activity income, government funds, scientific and technological activity internal expenditure, service fee, scientific and technological project number, national level project number and project labor input are selected as scientific and technological service industry input items and three indicators including patent granting number, publishing number of articles of science and technology and technical market contract amount are selected as scientific and technological service industry output items. Input and output data are collected and a sample data set is formed. An SVM-based predication model is established. The scientific and technological service industry output value of next year is predicated according to a scientific and technological service industry input value of the previous year. The method can also be used for testing and exploring how to optimize and adjust the scientific and technological service industry input value for achieving an ideal output effect.

Description

technical field [0001] The invention belongs to the technical field of statistical forecasting, in particular to a method for forecasting the output of scientific and technological service industry based on SVM. Background technique [0002] The level of technological development largely determines the level and structure of a country or a region's economic development as well as the mode and pattern of economic growth. At present, my country has entered an important period of innovative development, and scientific and technological innovation has been placed in a strategic position of priority development. The science and technology service industry is an industry that provides services for technological innovation. The country and the government have issued a number of policies to promote and promote the development of the science and technology service industry. [0003] The development of the science and technology service industry is inseparable from the investment in ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/10
Inventor 张绍华宋俊典戴柄荣杨琳纪婷婷李超
Owner SHANGHAI DEV CENT OF COMP SOFTWARE TECH
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