首页|Studies from Shijiazhuang Tiedao University Yield New Information about Machine Learning (A Novel Dimensionality Reduction Approach By Integrating Dynamics Theo ry and Machine Learning)
Studies from Shijiazhuang Tiedao University Yield New Information about Machine Learning (A Novel Dimensionality Reduction Approach By Integrating Dynamics Theo ry and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting originating from Shijiazhuang, Peo ple's Republic of China, by NewsRx correspondents, research stated, “This paper aims to introduce a technique that utilizes both dynamical mechanisms and machin e learning to reduce dimensionality in high-dimensional complex systems. Specifi cally, the method employs Hopf bifurcation theory to establish a model paradigm and use machine learning to train location parameters.”
ShijiazhuangPeople's Republic of ChinaAsiaCyborgsDimensionality ReductionEmerging TechnologiesMachine Learni ngShijiazhuang Tiedao University
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