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在“Elsevier电子期刊”中，命中：384条，耗时：0.0149922 秒

在所有数据库中总计命中：918条

1.Screening dense and noisy DOX-datasets with NN-blending and “dizzy” swarm intelligence: Profiling a water quality process

作者：George J. Besseris^a ; ^b ; ^{besseris@teipir.gr}

关键词：Stochastic optimization ; Taguchi methods ; Swarm intelligence ; GRNN ; Smart sampling ; Water quality

刊名：Swarm and Evolutionary Computation

出版年：2017

2.Speech intelligibility improvement in noisy environments based on energy correlation in frequency bands

作者：Peyman Goli ^{p.goli@stu.nit.ac.ir}Author Vitae ; Mohammad Reza Karami-mollaei ; ^{mkarami@nit.ac.ir}Author Vitae

关键词：Speech intelligibility ; Speech modification ; Energy correlation ; Function optimization

刊名：Digital Signal Processing

出版年：2017

3.A new method for topology design of electromagnetic antennas in hyperthermia therapy

作者：Alan A.S. Amad ^{alanasa@lncc.br} ; Abimael F.D. Loula ^aloc@lncc.br ; Antonio A. Novotny ; ^{novotny@lncc.br}

关键词：Topology design of antenna ; Topological derivatives ; Optimization method ; Regional hyperthermia ; Electromagnetic waves ; Treatment of cancer

刊名：Applied Mathematical Modelling

出版年：2017

4.An algorithm twisted from generalized ADMM for multi-block separable convex minimization models

作者：Jin Jiang Wang^a ; ^b ; ^{wxuew_jj@163.com" class="auth_mail" title="E-mail the corresponding author} ; Wen Song^a ; ^c ; ^{wsong@hrbnu.edu.cn" class="auth_mail" title="E-mail the corresponding author}

关键词：Separable convex optimization ; ADMM ; Proximal ADMM ; Augmented Lagrangian method

刊名：Journal of Computational and Applied Mathematics

出版年：2017

5.Identification of the boundary heat transfer coefficient from interior measurement of temperature field

作者：Liyan Wang ; ^{wangliyan@seu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Binbin Yang ; Xiaoxuan Yu ; Cheng Zeng

关键词：Inverse problems ; Heat equation ; Boundary impedance ; Uniqueness ; Optimization ; Iteration

刊名：Applied Mathematics Letters

出版年：2017

6.Sparse least-squares reverse time migration using seislets

作者：Gaurav Dutta ^{gaurav.dutta@kaust.edu.sa}

关键词：Least-squares reverse time migration ; Seislets ; Sparsity ; Dip-constrained preconditioner

刊名：Journal of Applied Geophysics

出版年：2017

7.Noise adaptive super-resolution from single image via non-local mean and sparse representation

作者：Srimanta Mandal ; ^{srimanta_mandal@students.iitmandi.ac.in" class="auth_mail" title="E-mail the corresponding author} ; Arnav Bhavsar ^{arnav@iitmandi.ac.in" class="auth_mail" title="E-mail the corresponding author} ; Anil Kumar Sao ^{anil@iitmandi.ac.in" class="auth_mail" title="E-mail the corresponding author}

关键词：Super-resolution ; Sparse representation ; Singular value decomposition ; Additive noise ; Non-local similarity ; Edge preserving constraint

刊名：Signal Processing

出版年：2017

8.Simple and cumulative regret for continuous noisy optimization

作者：Sandra Astete-Morales ^{sandra.astete@lri.fr" class="auth_mail" title="E-mail the corresponding author} ; Marie-Liesse Cauwet ^{marie-liesse.cauwet@lri.fr" class="auth_mail" title="E-mail the corresponding author} ; Jialin Liu ^{jialin.liu@lri.fr" class="auth_mail" title="E-mail the corresponding author} ; Olivier Teytaud ^{olivier.teytaud@lri.fr" class="auth_mail" title="E-mail the corresponding author}

关键词：Noisy optimization ; Runtime analysis

刊名：Theoretical Computer Science

出版年：2016

9.A Constrained Optimization based Extreme Learning Machine for noisy data regression

作者：Shen Yuong Wong^a ; ¹ ; ^{joeywsy77@yahoo.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Keem Siah Yap^a ; ¹ ; ² ; ^{yapkeem@uniten.edu.my" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Hwa Jen Yap^b ; ^{hjyap737@um.edu.my" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Extreme Learning Machine (ELM) ; Noisy data regression ; Constrained Optimization ; Kernel function

刊名：Neurocomputing

出版年：2016

10.A decentralized quantum-inspired particle swarm optimization algorithm with cellular structured population

作者：Wei Fang¹ ; ^a ; ^b ; ^{fangwei@jiangnan.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; ^{wxfangwei@hotmail.com" class="auth_mail" title="E-mail the corresponding author} ; Jun Sun^c ; Huanhuan Chen^d ; Xiaojun Wu^c

关键词：Particle swarm optimization ; Quantum-inspired particle swarm optimization ; Cellular structure ; Evolutionary computation

刊名：Information Sciences

出版年：2016

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