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浏览/检索结果: 共11条，第1-10条 帮助

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Dynamic Parameter Optimization of High-Speed Pantograph Based on Swarm Intelligence and Machine Learning 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF APPLIED MECHANICS, 2023, 页码: 19
作者:  Zhou R(周睿);  Xu XH(许向红);  Xu XH(许向红)
  |  收藏  |  浏览/下载：16/0  |  提交时间：2023/10/23
A Novel Adaptive Parameter Search Elastic Net Method for Fluorescent Molecular Tomography 期刊论文  OAI收割
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 5, 页码: 1484-1498
作者:  Wang, Hanfan;  Bian, Chang;  Kong, Lingxin;  An, Yu;  Du, Yang
  |  收藏  |  浏览/下载：71/0  |  提交时间：2021/06/15
Parameterized Dynamic Cluster Editing 期刊论文  OAI收割
ALGORITHMICA, 2020, 页码: 44
作者:  Luo, Junjie;  Molter, Hendrik;  Nichterlein, Andre;  Niedermeier, Rolf
  |  收藏  |  浏览/下载：24/0  |  提交时间：2020/09/23
3-D Gravity Anomaly Inversion Based on Improved Guided Fuzzy C-Means Clustering Algorithm 期刊论文  OAI收割
PURE AND APPLIED GEOPHYSICS, 2020, 卷号: 177, 期号: 2, 页码: 1005-1027
作者:  Liu, Sheng;  Jin, Shuanggen
  |  收藏  |  浏览/下载：19/0  |  提交时间：2020/04/17
3-D Gravity Anomaly Inversion Based on Improved Guided Fuzzy C-Means Clustering Algorithm 期刊论文  OAI收割
PURE AND APPLIED GEOPHYSICS, 2020, 卷号: 177, 期号: 2, 页码: 1005-1027
作者:  Liu, Sheng;  Jin, Shuanggen
  |  收藏  |  浏览/下载：22/0  |  提交时间：2021/09/26
Revisiting Parameter Sharing for Automatic Neural Channel Number Search 会议论文  OAI收割
Online, 2020.12.06-2020.12.12
作者:  Wang JX(王家兴);  Bo HL(柏昊立);  Wu JX(吴家祥);  Shi XP(史旭鹏);  Huang JZ(黄俊洲)
  |  收藏  |  浏览/下载：63/0  |  提交时间：2021/06/16
Classification of hyperspectral image based on SVM optimized by a new particle swarm optimization (EI CONFERENCE) 会议论文  OAI收割
2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China
作者:  Gao X.;  Yu P.;  Yu P.
收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25
Support Vector Machine (SVM) is used to classify hyperspectral remote sensing image in this paper. Radial Basis Function (RBF)  which is most widely used  is chosen as the kernel function of SVM. Selection of kernel function parameter is a pivotal factor which influences the performance of SVM. For this reason  Particle Swarm Optimization (PSO) is provided to get a better result. In order to improve the optimization efficiency of kernel function parameter  firstly larger steps of grid search method is used to find the appropriate rang of parameter. Since the PSO tends to be trapped into local optimal solutions  a weight and mutation particle swam optimization algorithm was proposed  in which the weight dynamically changes with a liner rule and the global best particle mutates per iteration to optimize the parameters of RBF-SVM. At last  a 220-bands hyperspectral remote sensing image of AVIRIS is taken as an experiment  which demonstrates that the method this paper proposed is an effective way to search the SVM parameters and is available in improving the performance of SVM classifiers. 2012 IEEE.  
Integration of a statistical emulator approach with the SCE-UA method for parameter optimization of a hydrological model SCI/SSCI论文  OAI收割
2012
作者:  Xia J.
收藏  |  浏览/下载：50/0  |  提交时间：2014/12/24
Hybrid enhanced continuous tabu search and genetic algorithm for parameter estimation in colored noise environments 期刊论文  OAI收割
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 卷号: 38, 期号: 4, 页码: 3909-3917
作者:  Ramkumar, Barathram;  Schoen, Marco P.;  Lin, Feng
收藏  |  浏览/下载：25/0  |  提交时间：2015/12/18
A hybrid genetic algorithm for two-layer location-routing problem 会议论文  OAI收割
4th International Conference on New Trends in Information Science and Service Science, NISS2010, Gyeongju, Korea, Republic of, May 11-13, 2010
作者:  Jin L(金莉);  Zhu YL(朱云龙);  Shen H(申海);  Ku T(库涛)
收藏  |  浏览/下载：34/0  |  提交时间：2012/06/06