检索结果-内蒙古大学图书馆

17th Genetic and Evolutionary Computation Conference, GECCO 2015

作者： Zheng, Jinhua Bai, Hui Shen, Ruimin Li, Miqing Institute of Information Engineering Xiangtan University Hunan411105 China Institute of Mathematics and Computational Science Xiangtan University Hunan411105 China Department of Information Systems and Computing Brunel University Uxbridge MiddlesexUB8 3PH United Kingdom

ISBN: (纸本)9781450334884

This study exhaustively compares the abilities to solve manyobjective problems of eight representative algorithms from four different classes (i.e., Pareto-, aggregation-, indicator-, and diversity-based EMO algorithms). The eight compared algorithms are tested on four types of well-defined continuous, discontinuous and combinatorial problems, through three performance metrics as well as a visual observation in the decision space. We can conclude from the experimental results that the performance of the eight algorithms differ not only on the dimensionality of the problems, but also on the shape and features of the Pareto front. From this it suggests an appropriate choice for researchers and practitioners when solving many-objective problems.

关键词： Problem solving

来源：评论

学校读者我要写书评

暂无评论

25th Annual computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

引用

BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

关键词：

来源：评论

学校读者我要写书评

暂无评论

An algorithm to optimize ECoG stimulus current patterns while constraining local current density across the entire brain

引用

Brain Stimulation 2017年第4期10卷 e38-e38页

作者： Seyhmus Guler Moritz Dannhauer Biel Roig-Solvas Alexis Gkogkidis Rob MacLeod Tonio Ball Jeffrey G. Ojemann Dana H. Brooks Computational Radiology Lab Boston Children’s Hospital and Harvard Medical School Boston MA USA Center for Integrative Biomedical Computing (CIBC) University of Utah Salt Lake City UT USA Scientific Computing Institute (SCI) University of Utah Salt Lake City UT USA B-SPIRAL Group Department of Electrical and Computer Engineering Northeastern University Boston MA USA Intracranial EEG and Brain Imaging Lab Epilepsy Center University Hospital Freiburg Freiburg Germany BrainLinks-BrainTools Cluster of Excellence and Bernstein Center Freiburg University of Freiburg Freiburg Germany Department of Neurological Surgery and the Center for Sensorimotor Neural Engineering University of Washington Seattle WA USA

来源：评论

学校读者我要写书评

暂无评论

Author Correction: The challenge of mapping the human connectome based on diffusion tractography

引用

Nature communications 2019年第1期10卷 5059页

作者： Klaus H Maier-Hein Peter F Neher Jean-Christophe Houde Marc-Alexandre Côté Eleftherios Garyfallidis Jidan Zhong Maxime Chamberland Fang-Cheng Yeh Ying-Chia Lin Qing Ji Wilburn E Reddick John O Glass David Qixiang Chen Yuanjing Feng Chengfeng Gao Ye Wu Jieyan Ma Renjie He Qiang Li Carl-Fredrik Westin Samuel Deslauriers-Gauthier J Omar Ocegueda González Michael Paquette Samuel St-Jean Gabriel Girard François Rheault Jasmeen Sidhu Chantal M W Tax Fenghua Guo Hamed Y Mesri Szabolcs Dávid Martijn Froeling Anneriet M Heemskerk Alexander Leemans Arnaud Boré Basile Pinsard Christophe Bedetti Matthieu Desrosiers Simona Brambati Julien Doyon Alessia Sarica Roberta Vasta Antonio Cerasa Aldo Quattrone Jason Yeatman Ali R Khan Wes Hodges Simon Alexander David Romascano Muhamed Barakovic Anna Auría Oscar Esteban Alia Lemkaddem Jean-Philippe Thiran H Ertan Cetingul Benjamin L Odry Boris Mailhe Mariappan S Nadar Fabrizio Pizzagalli Gautam Prasad Julio E Villalon-Reina Justin Galvis Paul M Thompson Francisco De Santiago Requejo Pedro Luque Laguna Luis Miguel Lacerda Rachel Barrett Flavio Dell'Acqua Marco Catani Laurent Petit Emmanuel Caruyer Alessandro Daducci Tim B Dyrby Tim Holland-Letz Claus C Hilgetag Bram Stieltjes Maxime Descoteaux Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg 69120 Germany. k.maier-hein@dkfz.de. Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg 69120 Germany. Sherbrooke Connectivity Imaging Lab (SCIL) Université de Sherbrooke Sherbrooke QC J1K 0A5 QC Canada. Department of Intelligent Systems Engineering School of Informatics and Computing Indiana University Bloomington IN 47408 USA. Krembil Research Institute University Health Network Toronto Canada M5G 2C4. Department of Neurological Surgery University of Pittsburgh School of Medicine Pittsburgh PA 15213 USA. IMT-Institute for Advanced Studies Lucca 55100 Italy. Department of Diagnostic Imaging St. Jude Children's Research Hospital Memphis TN 38105 USA. University of Toronto Institute of Medical Science Toronto Canada M5S 1A8. Institute of Information Processing and Automation Zhejiang University of Technology Hangzhou 310023 Zhejiang China. United Imaging Healthcare Co Shanghai 201807 China. Shanghai Advanced Research Institute Shanghai 201210 China. Laboratory of Mathematics in Imaging Harvard Medical School Boston MA 02215 USA. Center for Research in Mathematics Guanajuato 36023 Mexico. PROVIDI Lab Image Sciences Institute University Medical Center Utrecht Utrecht 3508 The Netherlands. Cardiff University Brain Research Imaging Centre School of Psychology Cardiff University Maindy Road Cardiff CF24 4HQ UK. Department of Radiology University Medical Center Utrecht Utrecht 3508 The Netherlands. Centre de recherche institut universitaire de geriatrie de Montreal (CRIUGM) Université de Montréal Montreal QC Canada H3W 1W5. Sorbonne Universités UPMC Univ Paris 06 CNRS INSERM Laboratoire d'Imagerie Biomédicale (LIB) 75013 Paris France. Center for Advanced Research in Sleep Medicine Hôpital du Sacré-Coeur de Montréal Montreal Canada H4J 1C5. Neuroimaging Unit Institute of Bioimaging and Molecular Physiology (IBFM) Nat

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Modeling and optimizing cortical electric stimulation

引用

Brain Stimulation 2017年第4期10卷 e29-e29页

作者： Kimia Shayestehfard Moritz Dannhauer Seyhmus Guler Alexis Gkogkidis David Caldwell Jeneva Cronin Tonio Ball Jeffrey G. Ojemann Rob MacLeod Dana H. Brooks B-SPIRAL Group Department of Electrical and Computer Engineering Northeastern University Boston MA USA Center for Integrative Biomedical Computing (CIBC) University of Utah Salt Lake City UT USA Scientific Computing Institute (SCI) University of Utah Salt Lake City UT USA Computational Radiology Lab Boston Children’s Hospital and Harvard Medical School Boston MA USA Intracranial EEG and Brain Imaging Lab Epilepsy Center University Hospital Freiburg Freiburg Germany BrainLinks-BrainTools Cluster of Excellence and Bernstein Center Freiburg University of Freiburg Freiburg Germany Department of Neurological Surgery and the Center for Sensorimotor Neural Engineering University of Washington Seattle WA USA

来源：评论

学校读者我要写书评

暂无评论

STUDIES ON STRUCTURAL AND MECHANICAL PROPERTIES UNDER ISOSTATIC COMPRESSION WITH LARGE-SCALE DISCRETE ELEMENT SIMULATIONS

引用

Acta Mechanica Solida Sinica 2014年第2期27卷 129-136页

作者： Jianguo Liu Qicheng Sun Feng Jin Qingkai Liu State Key Laboratory of Hydroscience and Engineering Tsinghua University High Performance Computing Center Institute of Applied Physics and Computational Mathematics

Granular systems undergo a jamming transition at point J simply by increasing the packing fraction. A large-scale parallel discrete element code （THDEM： TsingHua Discrete Element Method） was used to obtain a satisfying statistical description of the structural and me- chanical properties near point J. The isostatic compressions of 100,000 polydispersed frictionless particles were simulated on high performance computers to clearly observe the sophisticated con- figurations of force chains. The first peak of the pair correlation function, coordination number, spatial distribution of the packing fraction, and stress were calculated to analyze their variations with increasing packing fraction. The critical packing fraction at point J is determined to be 0.62. The incremental stress and coordination number from point J scale well with the power law, and coincide with previous theoretical predications. The distribution of the packing frac- tion is a normal distribution around the average value. The standard deviation decreases with increasing packing fraction, indicating the system is more uniform with a denser packing.

关键词： granular matter jamming transition force chains parallel computing

来源：评论

学校读者我要写书评

暂无评论

Initial Atomic Motion Immediately Following Femtosecond-Laser Excitation in Phase-Change Materials

引用

Physical Review Letters 2016年第13期117卷 135501-135501页

作者： E. Matsubara S. Okada T. Ichitsubo T. Kawaguchi A. Hirata P. F. Guan K. Tokuda K. Tanimura T. Matsunaga M. W. Chen N. Yamada Department of Materials Science and Engineering Kyoto University Kyoto 606-8501 Japan Office of Society-Academia Collaboration for Innovation Kyoto University Kyoto 611-0011 Japan WPI Advanced Institute for Materials Research Tohoku University Sendai 980-8577 Japan Mathematics for Advanced Materials-OIL AIST-Tohoku University Sendai 980-8577 Japan Beijing Computational Science Research Center Beijing 100084 People’s Republic of China The Institute of Scientific and Industrial Research Osaka University Osaka 567-0047 Japan State Key Laboratory of Metal Matrix Composites School of Materials Science and Engineering Shanghai Jiao Tong University Shanghai 200030 People’s Republic of China

Despite the fact that phase-change materials are widely used for data storage, no consensus exists on the unique mechanism of their ultrafast phase change and its accompanied large and rapid optical change. By using the pump-probe observation method combining a femtosecond optical laser and an x-ray free-electron laser, we substantiate experimentally that, in both GeTe and Ge2Sb2Te5 crystals, rattling motion of mainly Ge atoms takes place with keeping the off-center position just after femtosecond-optical-laser irradiation, which eventually leads to a higher symmetry or disordered state. This very initial rattling motion in the undistorted lattice can be related to instantaneous optical change due to the loss of resonant bonding that characterizes GeTe-based phase change materials. Based on the amorphous structure derived by first-principles molecular dynamics simulation, we infer a plausible ultrafast amorphization mechanism via nonmelting.

关键词： Crystal structure Crystal symmetry Glass transition Optical pumping Peierls transition

来源：评论

学校读者我要写书评

暂无评论

Historical typewritten document recognition using minimal user interaction 15

Historical typewritten document recognition using minimal us...

引用

3rd International Workshop on Historical Document Imaging and Processing, HIP 2015

作者： Retsinas, George Gatos, Basilis Antonacopoulos, Apostolos Louloudis, Georgios Stamatopoulos, Nikolaos Computational Intelligence Laboratory Institute of Informatics and Telecommunications National Center for Scientific Research Demokritos AthensGR-15310 Greece School of Electrical and Computer Engineering National Technical University of Athens AthensGR-15773 Greece Research Lab School of Computing Science and Engineering University of Salford Greater ManchesterM5 4WT United Kingdom

ISBN: (纸本)9781450336024

Recognition of low-quality historical typewritten documents can still be considered as a challenging and difficult task due to several issues i.e. the existence of faint and degraded characters, stains, tears, punch holes etc. In this paper, we exploit the unique characteristics of historical typewritten documents in order to propose an efficient recognition methodology that requires minimum user interaction. It is based on a pre-processing stage in order to enhance the quality and extract connected components, on a semi-supervised clustering for detecting the most representative character samples and on a segmentation-free recognition stage based on a template matching and cross-correlation technique. Experimental results prove that even with minimum user interaction, the proposed method can lead to promising accuracy results. © 2015 ACM.

关键词： Template matching

来源：评论

学校读者我要写书评

暂无评论

Analysis of Sparse Quasi-Newton Updates with Positive Definite Matrix Completion

引用

Journal of the Operations Research Society of China 2014年第1期2卷 39-56页

作者： Yu-Hong Dai Nobuo Yamashita State Key Laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering ComputingAcademy of Mathematics and Systems ScienceChinese Academy of SciencesP.O.Box 2719Beijing 100080People’s Republic of China Department of Applied Mathematics and Physics Graduate School of InformaticsKyoto UniversityKyoto 606-8501Japan

Based on the idea of maximum determinant positive definite matrix completion,Yamashita(Math Prog 115(1):1–30,2008)proposed a new sparse quasi-Newton update,called MCQN,for unconstrained optimization problems with sparse Hessian *** exchange of the relaxation of the secant equation,the MCQN update avoids solving difficult subproblems and overcomes the ill-conditioning of approximate Hessian ***,local and superlinear convergence results were only established for the MCQN update with the DFP *** this paper,we extend the convergence result to the MCQN update with the whole Broyden’s convex *** results are also reported,which suggest some efficient ways of choosing the parameter in the MCQN update the Broyden’s family.

关键词： Quasi-Newton method Large-scale problems Sparsity Positive definite matrix completion Superlinear convergence

来源：评论

学校读者我要写书评

暂无评论

An Improved Algorithm for Simulating the Mechanical Behavior of Super Carbon Nanotubes

An Improved Algorithm for Simulating the Mechanical Behavior...

引用

IEEE International Conference on computational Science and engineering, CSE

作者： Michael Burger Christian Bischof Christian Schröppel Jens Wackerfuß Graduate School of Computational Engineering TU Darmstadt Darmstadt Institute for Scientific Computing TU Darmstadt Darmstadt Institute for Structural Analysis University of Kassel Kassel Universitat Kassel Kassel Hessen DE

In this paper we present an extended and improved algorithm based on our previous work for simulating the mechanical behavior of super carbon nanotubes (SCNTs). On previously considered level 0 SCNTs the performance is improved by a factor higher than 2 when running in serial and a factor up to 4.4 when running in parallel on a 16 core SMP system. A new pre-processing step exploiting structural symmetry and an improved proximity-aware Matrix-Vector-Multiplication routine make this performance improvement possible while only consuming few additional memory. We also extend our symmetry considerations to SCNTs of order 1 and give an insight into the graph algebra based construction of these structures. Experimental results show that our new solver outperforms a compressed-row-storage based reference solver, on order 0 and 1 SCNTs, with and without deformations, while requiring only half the memory.

关键词： Carbon nanotubes Mathematical model Junctions Electron tubes Algebra Symmetric matrices Indexes

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：