首页|Studies from Shanxi University Have Provided New Information about Mathematics ( Advanced Method for Recognizing and MeasuringKey Information In Non-stationary Signals Using Variational Mode Decomposition and Cnn-lstm-svm Algorithms)
Studies from Shanxi University Have Provided New Information about Mathematics ( Advanced Method for Recognizing and MeasuringKey Information In Non-stationary Signals Using Variational Mode Decomposition and Cnn-lstm-svm Algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Mathematics is now available. Acco rding to news reporting originating inTaiyuan, People’s Republic of China, by N ewsRx journalists, research stated, “In order to address theissue of insufficie nt ability to identify and measure the key information of non-stationary signals collectedin practical industrial fields such as logistics transportation, stat e detection, and fault diagnosis, this paperproposes a method to identify and m easure the key information based on variational mode decomposition(VMD), convol utional neural networks (CNNs), long short-term memory (LSTM) networks, and support vector machine (SVM). First, the non-stationary signal is reconstructed by u sing VMD and linearcorrelation decomposition.”
TaiyuanPeople’s Republic of ChinaAsi aMathematicsAlgorithmsShanxi University
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