首页|Korkyt Ata Kyzylorda University Researchers Report on Findings in Machine Learni ng [Predicting LAN switch failures: An integrated approach wi th DES and machine learning techniques (RF/LR/DT/SVM)]
Korkyt Ata Kyzylorda University Researchers Report on Findings in Machine Learni ng [Predicting LAN switch failures: An integrated approach wi th DES and machine learning techniques (RF/LR/DT/SVM)]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Research findings on artificial intelligence are discussed in a new report. According to news reporting out of Korkyt Ata Kyzylor da University by NewsRx editors, research stated, “This research paper introduces an innovative approach to predicting failures in Local Area Network (LAN) swit ches, combining DoubleExponential Smoothing (DES) with a suite of Machine Learn ing (ML) algorithms including Random Forest(RF), Logistic Regression (LR), Deci sion Trees (DT), and Support Vector Machines (SVM). The primaryobjective of thi s study is to enhance the accuracy and timeliness of LAN switch failure predicti ons, therebyfacilitating more proactive and effective network management.”
Korkyt Ata Kyzylorda UniversityAlgorit hmsCyborgsEmerging TechnologiesMachine LearningSupport Vector Machines
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