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Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22658
Abstract: Gradient‐based optimizer (GBO) is a metaphor‐free mathematic‐based algorithm proposed in recent years. Encouraged by the gradient‐based Newton's method, this algorithm combines with population‐based evolutionary methods. The disadvantage of the traditional GBO algorithm is that the…
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Keywords:
gradient based;
gaussian bare;
algorithm;
performance concerns ... See more keywords
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Published in 2023 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29592
Abstract: To expand on the previously developed B1+$$ {\mathrm{B}}_1^{+} $$ ‐encoding technique, frequency‐modulated Rabi‐encoded echoes (FREE), to perform accelerated image acquisition by collecting multiple lines of k‐space in an echo train.
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Keywords:
spin echo;
accelerated gradient;
echo approach;
approach accelerated ... See more keywords
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Published in 2018 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-017-0572-z
Abstract: In this research, we propose a novel algorithm for learning of the recurrent neural networks called as the fractional back-propagation through time (FBPTT). Considering the potential of the fractional calculus, we propose to use the…
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Keywords:
novel fractional;
based learning;
neural networks;
gradient based ... See more keywords
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Published in 2021 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-020-01612-6
Abstract: To efficiently reduce the impact of the trading-off between the convergence rate and the quality of identifying a system, and also to improve the robustness of the algorithm against unknown sparsity levels, a Modified Absolute…
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Keywords:
system;
gradient based;
coefficient;
proposed algorithm ... See more keywords
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Published in 2017 at "Computational Mechanics"
DOI: 10.1007/s00466-016-1362-3
Abstract: A computationally efficient gradient-based optimization approach for inverse material characterization from incomplete system response measurements that can utilize a generally applicable parameterization (e.g., finite element-type parameterization) is presented and evaluated. The key to this inverse…
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Keywords:
gradient based;
based optimization;
gradient;
inverse characterization ... See more keywords
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Published in 2020 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01702-7
Abstract: Multi-objective reinforcement learning (MORL) algorithms aim to approximate the Pareto frontier uniformly in multi-objective decision making problems. In the scenario of deep reinforcement learning (RL), gradient-based methods are often adopted to learn deep policies/value functions…
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Keywords:
evolution;
gradient based;
multi objective;
reinforcement learning ... See more keywords
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Published in 2019 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-019-0140-3
Abstract: This paper considers the parameter identification problems of controlled autoregressive systems using observation information. According to the hierarchical identification principle, we decompose the controlled autoregressive system into two subsystems by introducing two fictitious output variables.…
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Keywords:
based iterative;
gradient based;
controlled autoregressive;
two stage ... See more keywords
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Published in 2017 at "Shape Memory and Superelasticity"
DOI: 10.1007/s40830-017-0100-9
Abstract: Constitutive models are necessary to design shape memory alloy (SMA) components at nano- and micro-scales in NEMS and MEMS. The behavior of small-scale SMA structures deviates from that of the bulk material. Unfortunately, this response…
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Keywords:
gradient based;
shape memory;
memory;
constitutive model ... See more keywords
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Published in 2021 at "Acoustics Australia"
DOI: 10.1007/s40857-021-00242-5
Abstract: A design of the sonic crystal (SC), called the gradient-based sonic crystal (GBSC), that uses the gradient of properties of the SC array is proposed as an improvement over the traditional design of SCs. The…
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Keywords:
based sonic;
gradient based;
bandgaps creation;
creation high ... See more keywords
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Published in 2020 at "Journal of building engineering"
DOI: 10.1016/j.jobe.2020.101379
Abstract: Abstract In this study, the optimum locations of outriggers minimizing the top drift of tall buildings are identified using a gradient-based nonlinear programming approach. Since the proposed optimization method uses finite element analysis to evaluate…
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Keywords:
location;
optimum location;
analysis;
gradient based ... See more keywords
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Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2020.107503
Abstract: Abstract Structural dynamic testing is of great importance for a built-up aerospace structure. The response acquisition is commonly time and labor-consuming when the size of the test structure is large. The recently developed image-based measurement…
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Keywords:
solar array;
point tracking;
gradient based;
method ... See more keywords