NSTL国家科技图书文献中心

1. Passivity and robust passivity of inertial memristive neural networks with time-varying delays via non-reduced order method NSTL国家科技图书文献中心

Xu, Weizhe | Li, Zihao ... - 《Neural Networks》 - 2025,184 - Article 107042～Article 107042 - 共7页

摘要： are derived by using the non-reduced* order method* | . The proposed criteria, based on the non-reduced | using non-smooth analysis and the passivity theorem | order method, effectively reduce the complexity of | This study examines the concepts of passivity

关键词： Memristor | Inertial neural networks (INNs) | Passivity | Non-reduced order method

2. Finite-time synchronization for a fully complex-valued BAM inertial neural network with proportional delays via non-reduced order and non-separation approach NSTL国家科技图书文献中心

Duan L. | Li J. - 《Neurocomputing》 - 2025,611(Jan.1) - 1.1～1.12 - 共12页

摘要：-reduced* order and non-separation approach. Firstly, a* | established. Secondly, by using the non-reduced order | networks (FCV-BAM-INNs) with proportional delays via non | the non-separation method of complex-valued neural | -BAM-INNs with proportional delays by applying non

关键词： BAM inertial neural networks | Finite-time synchronization | Fully complex-valued neural networks | Non-reduced order | Non-separation | Proportional delays

3. A Non-Intrusive, Online Reduced Order Method for Non-Linear Micro-Heterogeneous Materials NSTL国家科技图书文献中心

von Hoegen, Yasemin | Niekamp, Rainer ... - 《International Journal for Numerical Methods in Engineering》 - 2025,126(5) - n/a～n/a - 共19页

摘要： model order* reduction technique for non-linear finite* | updates of the reduced* basis during the iterative* | In this contribution we present an adaptive | element computations of micro-heterogeneous materials | . The presented projection-based method performs

关键词： adaptivity | microstructure | Proper Orthogonal Decomposition | reduced basis | reduced order model

4. A reduced-order time-frequency transform technique for processing nonlinear and non-stationary vibration measurement data NSTL国家科技图书文献中心

Javad Isavand | Florian Bossmann ... - 《Measurement》 - 2025,252 - 117327.1～117327.17 - 共17页

摘要：-stationary signals called the Reduced-order* Time-Frequency* | signal analysis method for analyzing nonlinear and non | Transform (WSST). Several non-stationary synthesized and | This paper introduces a novel time-frequency | Transform (RTFT). The RTFT technique offers the

关键词： Time-Frequency analysis | Condition monitoring | Correlation coefficient | Order reduction | Data volume

5. A non-intrusive reduced-order model for finite element analysis of implant positioning in total hip replacements NSTL国家科技图书文献中心

Reiber, Marlis | Bensel, Fynn ... - 《Biomechanics and modeling in mechanobiology》 - 2025,24(1) - 169～183 - 共15页

摘要： this work, a non-intrusive reduced-order* model* | impractical for clinical settings. Model order* reduction* | position is reduced* from minutes to milliseconds by the* | presented non-intrusive surrogate model paves the way for | Sophisticated high-fidelity simulations can

关键词： Bone remodelling | Patient-specific simulation | Parametric surrogate model | Proper orthogonal decomposition | Radial basis function interpolation

6. Integration of multi-fidelity methods in parametrized non-intrusive reduced order models for industrial applications NSTL国家科技图书文献中心

Dicech, Fausto | Gkaragkounis, Konsta...... - 《Journal of computational science》 - 2025,85(Feb.) - 1.1～1.15 - 共15页

摘要：- dimensional design spaces. Reduced* Order Models (ROMs) aim* | where the full-order* solution is replaced with a* | Exploring the behavior of complex industrial | problems might become burdensome, especially in high | to minimize the computational effort needed to

关键词： Reduced order models | Multi-fidelity | Road vehicles | Proper Orthogonal Decomposition | Aerodynamics | KRIGING MODEL | REDUCTION | PROJECTION | DESIGN | POD

7. A LATIN-PGD reduced order approximation dedicated to the solution of an optimal control based identification strategy for non-linear constitutive parameters NSTL国家科技图书文献中心

Bhattacharyya, Maina... | Feissel, Pierre - 《International Journal of Solids and Structures》 - 2025,309 - 共16页

摘要： decomposition (PGD) based reduced* order approximation is also* | deterministic identification of non-linear material parameters | functional under non-linear constraints. The non-linear | The objective of the research is to obtain | from full field measurements of kinematic data

关键词： Inverse problem | Parametric identification | Material non-linearity | LATIN-PGD

8. A reduced-order model for advection-dominated problems based on the Radon Cumulative Distribution Transform NSTL国家科技图书文献中心

Long, Tobias | Barnett, Robert ... - 《Advances in computational mathematics》 - 2025,51(1) - 共30页

摘要： parameter variations, making the reduced* models* | inefficient and inaccurate. This work proposes a model order | that this non-linear transformation can overcome some | Problems with dominant advection | , discontinuities, travelling features, or shape variations are

关键词： Reduced order model | Non-linear transformations | Advection-dominated problems | Radon transform | Cumulative distribution | Proper orthogonal decomposition | 65-XX

9. Reachable set estimation of delayed second-order memristive neural networks NSTL国家科技图书文献中心

Shen, Yi | Zhao, Jiemei ... - 《Applied mathematics and computation》 - 2025,484 - 共10页

摘要： bounded by a compact ellipsoid. A non-reduced order | bounding problem instead of the reduced* order method by* | bounding of delayed second-order* memristive neural* | This study is concerned with reachable set | networks (SMNNs) with bounded input disturbances. By

关键词： Delayed second-order memristive neural | networks | Reachable set | Bounded disturbances | Filippov solution

10. Global polynomial synchronization for quaternion-valued T-S fuzzy inertial neural networks via event-triggered control: A polynomial gain method NSTL国家科技图书文献中心

Zhang, Jingjing | Li, Zhouhong ... - 《Chaos,Solitons and Fractals》 - 2025,196 - 共16页

摘要： mechanism. The non-reduced* order and non-decomposition* | This work explores the global polynomial | synchronization for a class of quaternion-valued Takagi-Sugeno | fuzzy inertial neural networks based on event | -triggered control. Firstly, the paper designs the fuzzy

关键词： Quaternion-valued inertial neural networks | Event-triggered control | Polynomial control gain | Takagi-Sugeno fuzzy models | Global polynomial synchronization

摘要： are derived by using the non-reduced order method | . The proposed criteria, based on the non-reduced | using non-smooth analysis and the passivity theorem | order method, effectively reduce the complexity of | This study examines the concepts of passivity

关键词： Memristor | Inertial neural networks (INNs) | Passivity | Non-reduced order method

摘要：-reduced order and non-separation approach. Firstly, a | established. Secondly, by using the non-reduced order | networks (FCV-BAM-INNs) with proportional delays via non | the non-separation method of complex-valued neural | -BAM-INNs with proportional delays by applying non

关键词： BAM inertial neural networks | Finite-time synchronization | Fully complex-valued neural networks | Non-reduced order | Non-separation | Proportional delays

摘要： model order reduction technique for non-linear finite | updates of the reduced basis during the iterative | In this contribution we present an adaptive | element computations of micro-heterogeneous materials | . The presented projection-based method performs

关键词： adaptivity | microstructure | Proper Orthogonal Decomposition | reduced basis | reduced order model

摘要：-stationary signals called the Reduced-order Time-Frequency | signal analysis method for analyzing nonlinear and non | Transform (WSST). Several non-stationary synthesized and | This paper introduces a novel time-frequency | Transform (RTFT). The RTFT technique offers the

关键词： Time-Frequency analysis | Condition monitoring | Correlation coefficient | Order reduction | Data volume

摘要： this work, a non-intrusive reduced-order model | impractical for clinical settings. Model order reduction | position is reduced from minutes to milliseconds by the | presented non-intrusive surrogate model paves the way for | Sophisticated high-fidelity simulations can

关键词： Bone remodelling | Patient-specific simulation | Parametric surrogate model | Proper orthogonal decomposition | Radial basis function interpolation

摘要：- dimensional design spaces. Reduced Order Models (ROMs) aim | where the full-order solution is replaced with a | Exploring the behavior of complex industrial | problems might become burdensome, especially in high | to minimize the computational effort needed to