首页|New Machine Learning Research from Universiti Kebangsaan Malaysia Outlined (Feas ibility of Principal Component Analysis for Multi-Class Earthquake Prediction Ma chine Learning Model Utilizing Geomagnetic Field Data)
New Machine Learning Research from Universiti Kebangsaan Malaysia Outlined (Feas ibility of Principal Component Analysis for Multi-Class Earthquake Prediction Ma chine Learning Model Utilizing Geomagnetic Field Data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - A new study on artificial intelligence is now available. According to news reporting originating from Bangi, Malaysia, by NewsRx correspondents, research stated, “Geomagnetic field data have been found to contain earthquake (EQ) precursory signals; however, analyzing this high- resolution, imbalanced data presents challenges when implementing machine learni ng (ML). This study explored feasibility of principal component analyses (PCA) f or reducing the dimensionality of global geomagnetic field data to improve the accuracy of EQ predictive models.”
Universiti Kebangsaan MalaysiaBangiMalaysiaAsiaCyborgsEmerging TechnologiesMachine Learning
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