Fuzzy matching algorithm of network information retrieval based on discrete mathematics

Aiming at the problems of low accuracy and slow search speed of network information matching, a fuzzy matching algorithm for network information retrieval based on discrete mathematics is proposed. The interaction matrix of network information is calculated by using a tensor neural network, and the...

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Veröffentlicht in:Applied nanoscience Jg. 13; H. 4; S. 2865 - 2873
1. Verfasser: Mo, Lijuan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cham Springer International Publishing 01.04.2023
Schlagworte:
Chemistry and Materials Science
Materials Science
Membrane Biology
Nanochemistry
Nanotechnology
Nanotechnology and Microengineering
Original Article
Network information retrieval
Discrete mathematics
Gradient vector
Fuzzy matching
ISSN:2190-5509, 2190-5517
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Zusammenfassung:Aiming at the problems of low accuracy and slow search speed of network information matching, a fuzzy matching algorithm for network information retrieval based on discrete mathematics is proposed. The interaction matrix of network information is calculated by using a tensor neural network, and the semantic matching information of word granularity and sentence granularity at different levels is obtained, and the network information is extracted. The template network information is discretized, the similarity between the direction of the discrete gradient and the magnitude of the gradient is compared, and the representative gradient vector in the template is extracted to replace all the discrete points to match, so as to realize the fuzzy matching algorithm design of network information retrieval. The experimental results show that the fuzzy matching algorithm based on discrete mathematics has higher matching accuracy.
ISSN:2190-5509
2190-5517
DOI:10.1007/s13204-021-02190-y