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کلمات کلیدی: Regularization
موارد یافت شده: 19
1 - A Quantitative Microwave Imaging Approach for Brain Stroke Classification Based on the Generalized Tikhonov Regularization (چکیده)2 - A sensitivity‐based finite element model updating based on unconstrained optimization problem and regularized solution methods (چکیده)
3 - A Reliable Approach for Terminating the GA Optimization Method (چکیده)
4 - Structural damage detection by a new iterative regularization method and an improved sensitivity function (چکیده)
5 - New Sensitivity-based Methods for Structural damage Diagnosis by Least Square Minimal Residual Techniques (چکیده)
6 - A New Approach for Determination of Neck-Pore Size Distribution of Porous Membranes via Bubble Point Data (چکیده)
7 - A shifted nested splitting iterative method with applications to ill-posed problems and image restoration (چکیده)
8 - Reliable estimation of optimal sulfinol concentration in gas treatment unit via novel stabilized MLP and regularization network (چکیده)
9 - Damage detection in structural systems by improved sensitivity of modal strain energy and Tikhonov regularization method (چکیده)
10 - Assessment of structural damage by sensitivity of modal strain energy based on an efficient optimization function (چکیده)
11 - Robust PSD determination of micro and meso-pore adsorbents via novel modified U curve method (چکیده)
12 - Reliable prediction of pore size distribution for nano-sized adsorbents with minimum information requirements (چکیده)
13 - Prediction of Energy and Pore Size Distributions Via Linear Regularization Theory (چکیده)
14 - Application of Neural Networks for Characterization of Porous Materials (چکیده)
15 - A novel method for estimation of pore size distribution of heterogenous solid adsorbents (چکیده)
16 - An Optimal Radial Basis Function (RBF) Neural Network for Hyper-Surface Reconstruction (چکیده)
17 - Neural networks modeling of hollow fiber membrane processes (چکیده)
18 - تخمین توزیعات انرژی و اندازه حفرات با استفاده از رگولاریزاسیون خطی (چکیده)
19 - Application of optimal RBF neural networks for optimization and characterization of porous materials (چکیده)
