Research Article
Intelligent Integration Method of Innovation and Entrepreneurship Education Management Information Based on ANNS
@INPROCEEDINGS{10.1007/978-3-031-21161-4_40, author={Anteng Xiu}, title={Intelligent Integration Method of Innovation and Entrepreneurship Education Management Information Based on ANNS}, proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I}, proceedings_a={ELEOT}, year={2023}, month={3}, keywords={ANNS Innovation and entrepreneurship education Management information Intelligent integration}, doi={10.1007/978-3-031-21161-4_40} }- Anteng Xiu
Year: 2023
Intelligent Integration Method of Innovation and Entrepreneurship Education Management Information Based on ANNS
ELEOT
Springer
DOI: 10.1007/978-3-031-21161-4_40
Abstract
Because the current information integration method for innovation and entrepreneurship education management cannot analyze different query service contents with the same semantic input and output, it is vulnerable to abnormal information and takes a long time to integrate information. Aiming at the problem, an intelligent integration method of innovation and entrepreneurship education management information based on ANNs is proposed. Based on ANNs, the intelligent integrated index function indicator is set in the search pre order/post order service; Dynamically generate the service chain and build a hierarchical index to provide marks for the implementation of information intelligent integration based on ANNs; The pattern matching algorithm is used to retrieve the matching preamble and follow-up services, analyze the semantically heterogeneous multi data sources, and determine the best integration location; The information intelligent integration structure based on ANNs solves the semantic heterogeneity between multiple data sources; Design the intelligent integration framework of innovation and entrepreneurship education management information, and complete the intelligent integration of information. The experimental results show that the maximum expansion coefficient of this method is 0.98 and the minimum information integration time is 0.98 × 10-3 s, with good information intelligent integration effect.
