Search Results - and Tikhonov’s - Regularizing Functional

Frequency-Dependent Diffusion Constant of Quantum Fluids from Path Integral Monte Carlo and Tikhonov’s Regularizing Functional by Kowalczyk, Poitr, Gauden, P., Terzyk, A., Furmaniak, S.

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A Parallel Low Complexity Zero-Forcing Beamformer Design for Multiuser MIMO Systems Via a Regularized Dual Decomposition Method by Li, Bin, Wu, Changzhi, Dam, Hai Huyen Heidi, Cantoni, Antonio, Teo, Kok Lay

“…Since the dual objective is not differentiable, a Tikhonov regularization is introduced. The regularized problem can be solved by using a gradient-based method in a parallel manner. …”
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A Hybrid of Functional Networks and Support Vector Machine Models for the Prediction of Petroleum Reservoir Properties by Fatai Adesina, Anifowose, Jane, Labadin, Abdulazeez, Abdulraheem

“…This proposed FNSVM hybrid model benefits from the excellent performance of the least-square-based model-selection algorithm of Functional Networks and the non-linear high-dimensional feature transformation capability that is based on structural risk minimization and Tikhonov regularization properties of SVM. …”
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Damage identification of a segment of a box-section girder subject to a moving Load by Law, S., Li, Jun

“…The damage in a segment of the structure is identified from the measured dynamic responses without information of the moving load using the response sensitivity-based method. The adaptive Tikhonov regularization technique is adopted to improve the identification results when noise effect is included in the measurements. …”
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Substructural Damage Detection With Incomplete Information of the Structure by Li, Jun, Law, S.

“…A dynamic response sensitivity-based method is used for the substructural finite element model updating, and local damage is identified as a change in the elemental stiffness factors. The adaptive Tikhonov regularization technique is adopted to improve the identification results with the measurement noise effect. …”
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Substructural interface force identification with limited vibration measurements by Li, Jun, Hao, H.

“…The coefficients of orthogonal functions are identified with the Tikhonov regularization technique. …”
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The use of inter-conversion equations on bituminous binder data by Nur Izzi Md. Yusoff, Mohd Rosli Hainin, Mounier, Damien, Airey, Gordon D.

“…The results showed that the dynamic data in the frequency domain can be converted into the time domain functions using a numerical technique. This was done with the aid of the non-linear regularization (NLREG) computer program. …”
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Damage identification of a target substructure with moving load excitation by Li, Jun, Law, S.

“…The dynamic response sensitivity-based method is adopted for the substructural damage identification with the local damage modeled as a reduction in the elemental stiffness factor. The adaptive Tikhonov regularization technique is employed to have an improved identification result when noise effect is included in the measurements. …”
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Substructure damage identification based on wavelet-domain response reconstruction by Li, Jun, Hao, Hong

“…Local damage is identified as a change in the elemental stiffness factors. The adaptive Tikhonov regularization technique is adopted to improve the identification results with measured responses including measurement and environmental noises in laboratory. …”
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A systematic method from influence line identification todamage detection: Application to RC bridges by Chen, Z., Yang, W., Li, Jun, Cheng, Q., Cai, Q.

“…An IL identification method which integrates the cubic B-spline function with Tikhonov regularization is first proposed based on the vehicle information and the corresponding moving vehicle induced bridge response time history. …”
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Improved damage identification in bridge structures subject to moving loads: Numerical and experimental studies by Li, Jun, Law, S., Hao, Hong

“…A dynamic response sensitivity-based method is used for the structural damage identification, and local damage is modeled as a change in the elemental stiffness factors. The adaptive Tikhonov regularization technique is adopted to improve the identification results when noise effect is included in the measurements. …”
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