Abstract:To deal with the ill-posed nature of the inverse heat conduction problem (IHCP), the regularization parameter can be incorporated into a minimization problem, which is known as Tikhonov regularization method, popular technique to obtain stable sequential solutions. Because is a penalty term, its excessive use may cause large bias errors. A ridge regression was developed as an estimator of the optimal to minimize the magnitude of a gain coefficient matrix appropriately. However, the sensitivity coefficient matr… Show more
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