Manjiang Xing*
Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1081-1090, 2023, DOI:10.32604/iasc.2023.034750
Abstract At present, the database cache model of power information system has problems such as slow running speed and low database hit rate. To this end, this paper proposes a database cache model for power information systems based on deep machine learning. The caching model includes program caching, Structured Query Language (SQL) preprocessing, and core caching modules. Among them, the method to improve the efficiency of the statement is to adjust operations such as multi-table joins and replacement keywords in the SQL optimizer. Build predictive models using boosted regression trees in the core caching module. Generate a series of regression tree… More >
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