Online Sequential Extreme Learning Machine with Generalized Regularization and Adaptive Forgetting Factor for Time-Varying System Prediction
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DOI: 10.1155/2018/6195387
Abstract: Many real world applications are of time-varying nature and an online learning algorithm is preferred in tracking the real-time changes of the time-varying system. Online sequential extreme learning machine (OSELM) is an excellent online learning… read more here.
Keywords: time varying; varying system; time; generalized regularization ... See more keywords