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Two Efficient Recursive Total Least Squares Solutions Based on the Grouping Strategy
IEEE Transactions on Instrumentation and MeasurementTotal least squares (TLS) has been comprehensively explored over the last few decades due to its excellent statistical properties. However, the unsatisfactory efficiency of TLS from the intricate process of inverting large matrices limits its practical ...
Zhijun Qi +5 more
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The International Conference on Electrical Engineering, 2008
K. El-Barbary +3 more
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K. El-Barbary +3 more
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This study seeks to conduct an empirical evaluation of the performances of two soft computing methodologies comprising the Levenberg-Marquardt Back Propagation Artificial Neural Network (LMBPANN) and the Bayesian Regularisation Backpropagation Artificial Neural Network (BRBPANN).
Larbi, Edwin Kojo +2 more
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Larbi, Edwin Kojo +2 more
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On condition numbers of the total least squares problem with linear equality constraint
Numerical Algorithms, 2022Qiaohua Liu, Zhigang Jia
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Locally weighted total least-squares variance component estimation for modeling urban air pollution
Environmental Monitoring & Assessment, 2022Arezo Mokhtari, B. Tashayo
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An efficient Gauss–Newton algorithm for solving regularized total least squares problems
Numerical Algorithms, 2021H. Zare, M. Hajarian
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Solution of total least squares problem in Hilbert spaces
Journal of Applied Mathematics and ComputationYuhang Liu, Haifeng Ma
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Regularized and Structured Tensor Total Least Squares Methods with Applications
Journal of Optimization Theory and ApplicationsFeiyang Han, Yimin Wei, Pengpeng Xie
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