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
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2015-10-21
Smart Images
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Abstract
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 ...
Examples
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. ...