首页|Studies from Jiangnan University Yield New Data on Computational Intelligence (R ecognition of Sleep-wake Stages By Deep Takagisugeno-kang Fuzzy Classifier With Random Rule Heritage)
Studies from Jiangnan University Yield New Data on Computational Intelligence (R ecognition of Sleep-wake Stages By Deep Takagisugeno-kang Fuzzy Classifier With Random Rule Heritage)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning - Compu tational Intelligence have been published. According to news originating from Wu xi, People’s Republic of China, by NewsRx correspondents, research stated, “Due to the existence of noise and/or uncertainty in available sleep-wake stage data, recognition of sleep-wake stages with an efficient feature extraction has been facing the following challenges: (1) how to handle these uncertainties; (2) how to have interpretable recognition; (3) how to make recognition of sleep-wake sta ges to have good testing performance (i.e., generalization capability). To circu mvent these three challenges, a deep Takagi-Sugeno-Kang (TSK) fuzzy classifier with random rule heritage called Drrh-TSK-FC is proposed for recognition of sleep -wake stages by integrating enhanced generalization capability of deep structure in fully excavating sleep information hidden in sleep stage data, together with the excellence of fuzzy classifiers in handling uncertainty and providing inter pretability in this study.”
WuxiPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningFuzzy LogicJiangnan University
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