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In this paper an efficient active set algorithm is presented for fast training of Optimization Extreme Learning Machines (OELMs). This algorithm suggests the use of an efficient identification technique of active set and the value reassignment technique for quadratic programming problem. With these strategies, this algorithm is able to drop many constraints from the active set at each iteration, and...
The extended Kalman filtering (EKF) algorithm instead of the error back-propagation (BP) algorithm is used to train artificial neural networks (ANNs) for chemical process modeling. The basic idea is, by modifying the EKF gain, to prevent overfitting or filtering divergence phenomenon caused by outliers in the training samples. The EKF-based ANNs training method proposed is also applied to estimate...
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