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浏览/检索结果: 共12条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Multi-source underwater DOA estimation using PSO-BP neural network based on high-order cumulant optimization 期刊论文  OAI收割 CHINA COMMUNICATIONS, 2023, 页码: 18 作者:  Chen, Haihua;  Zhang, Jingyao;  Jiang, Bin;  Cui, Xuerong;  Zhou, Rongrong   |  收藏  |  浏览/下载：25/0  |  提交时间：2023/12/04 Direction-of-arrival estimation  Estimation  Neural networks  Mathematical models  Training  Covariance matrices  Biological neural networks  particle swarm optimization (PSO) algorithm  PSO-BP neural network  gaussian colored noise  multiple sources  higher-order cumulant   Risk Factors and Prediction of the Probability of Wildfire Occurrence in the China-Mongolia-Russia Cross-Border Area 期刊论文  OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 1, 页码: 15 作者:  Li, Yuheng;  Xu, Shuxing;  Fan, Zhaofei;  Zhang, Xiao;  Yang, Xiaohui   |  收藏  |  浏览/下载：42/0  |  提交时间：2023/02/20 ANFIS  wildfire  China-Mongolia-Russia cross-border area  genetic algorithm (GA)  particle swarm optimization (PSO)  random forest   Optimal Design of Fuzzy-AGC Based on PSO & RCGA to Improve Dynamic Stability of Interconnected Multi-area Power Systems 期刊论文  OAI收割 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 599-609 作者:  Ali Darvish Falehi   |  收藏  |  浏览/下载：31/0  |  提交时间：2021/02/22 Power system dynamic stability  fuzzy logic automatic generation control (FLAGC)  particle swarm optimization (PSO)  real coded genetic algorithm (RCGA)  simultaneous coordination scheme.   Convergence Analysis of a New MaxMin-SOMO Algorithm 期刊论文  OAI收割 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 534-542 作者:  Atlas Khan;  Yan-Peng Qu   |  收藏  |  浏览/下载：23/0  |  提交时间：2021/02/22 Optimization  self organizing map (SOM)  SOM-based optimization (SOMO) algorithm  particle swarm optimization (PSO)  genetic algorithms (GAs).   PSO Optimal Control of Model-free Adaptive Control for PVC Polymerization Process 期刊论文  OAI收割 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 482-491 作者:  Shu-Zhi Gao;  Xiao-Feng Wu;  Liang-Liang Luan;  Jie-Sheng Wang;  Gui-Cheng Wang   |  收藏  |  浏览/下载：18/0  |  提交时间：2021/02/23 Polyvinyl chloride (PVC)  polymerization temperature  model-free adaptive control  particle swarm optimization (PSO) algorithm.   Near Optimal PID Controllers for the Biped Robot While Walking on Uneven Terrains 期刊论文  OAI收割 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 689-706 作者:  Ravi Kumar Mandava;  Pandu Ranga Vundavilli   |  收藏  |  浏览/下载：17/0  |  提交时间：2021/02/23 Biped robot  staircase  sloping surface  proportion integration differentiation (PID) controller  modified chaotic invasive weed optimization (MCIWO) & particle swarm optimization (PSO) algorithm.   Hybrid Particle Swarm Optimization with Differential Evolution for Numerical and Engineering Optimization 期刊论文  OAI收割 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 1, 页码: 103-114 作者:  Guo-Han Lin;  Jing Zhang;  Zhao-Hua Liu   |  收藏  |  浏览/下载：30/0  |  提交时间：2021/02/23 Particle swarm optimization (PSO)  active disturbance rejection control (ADRC)  differential evolution algorithm  chaotic map, parameter tuning.   基于粒子群优化的测试数据生成及其实证分析 期刊论文  OAI收割 计算机研究与发展, 2014, 卷号: 51, 期号: 4, 页码: 824-837 毛澄映; 喻新欣; 薛云志   |  收藏  |  浏览/下载：40/0  |  提交时间：2014/12/16 结构性测试  测试数据生成  分支覆盖  搜索算法  粒子群优化  structural testing  test data generation  branch coverage  searching algorithm  particle swarm optimization (PSO)   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：31/0  |  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.   Cost Optimization Problem of Hybrid Flow-shop Based on PSO Algorithm 会议论文  OAI收割 2011 3rd International Conference on Computer Design and Applications（ICCDA 2011）, Xi'an, China, May 27-29, 2011 作者:  Han ZH(韩忠华);  Ma Xiaofu;  Yao LL(姚丽丽);  Shi HB(史海波) 收藏  |  浏览/下载：47/0  |  提交时间：2012/06/06 hybrid flow-shop scheduling problem(HFSP)  particle swarm optimization (PSO)  genetic algorithm(GA)  cost optimization