首页> 外文OA文献 >Investigation on performance of particle swarm optimization (PSO) algorithm based fuzzy inference system (PSOFIS) in a combination of CFD modeling for prediction of fluid flow

【2h】

Investigation on performance of particle swarm optimization (PSO) algorithm based fuzzy inference system (PSOFIS) in a combination of CFD modeling for prediction of fluid flow

机译：基于粒子群优化（PSOFIS）的粒子群优化（PSOFIS）在CFD建模的组合中进行性能调查，以便预测流体流动

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Meisam Babanezhad; Iman Behroyan; Ali Taghvaie Nakhjiri; Azam Marjani; Mashallah Rezakazemi; Amir Heydarinasab; Saeed Shirazian;
展开▼
作者单位

展开▼
年度 2021
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling [J] . Wei Chen, Mahdi Panahi, Hamid Reza Pourghasemi Catena: An Interdisciplinary Journal of Soil Science Hydrology-Geomorphology Focusing on Geoecology and Landscape Evolution . 2017,第期

机译：基于GIS的新集合数据挖掘技术评估自适应神经模糊推理系统（ANFIS）的遗传算法（GA），差分演化（DE）和粒子群优化（PSO）用于滑坡空间建模
2. Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling [J] . Catena: An Interdisciplinary Journal of Soil Science Hydrology-Geomorphology Focusing on Geoecology and Landscape Evolution . 2017,第期

机译：基于GIS的新集合数据挖掘技术评估自适应神经模糊推理系统（ANFIS）的遗传算法（GA），差分演化（DE）和粒子群优化（PSO）用于滑坡空间建模
3. Investigation of convective heat transfer of ferrofluid using CFD simulation and adaptive neuro-fuzzy inference system optimized with particle swarm optimization algorithm [J] . Malekan Mohammad, Khosravi Ali Powder Technology: An International Journal on the Science and Technology of Wet and Dry Particulate Systems . 2018,第期

机译：用CFD仿真和自适应神经模糊推理系统对纤维素流体对流传热的研究及粒子群优化算法优化
4. AN IMPROVED PARTICLE SWARM OPTIMIZATION(PSO) ALGORITHM AND FUZZY INFERENCE SYSTEMS BASED APPROACH TO PROCESS PLANNING AND PRODUCTION SCHEDULING INTEGRATION IN HOLONIC MANUFACTURING SYSTEM (HMS) [C] . FU-QING ZHAO, QIU-YU ZHANG, YA-HONG YANG Proceedings of the 2006 International Conference on Machine Learning and Cybernetics . 2006

机译：改进的粒子群优化算法和模糊推理系统，用于完整制造系统（HMS）的过程计划和生产调度集成
5. An automatic tuning strategy for local fuzzy logic ramp metering algorithm using Particle Swarm Optimization (PSO). [D] . Zhu, Peng. 2008

机译：使用粒子群优化（PSO）的局部模糊逻辑斜坡计量算法的自动调整策略。
6. Inflation rate modeling: Adaptive neuro-fuzzy inference system approach and particle swarm optimization algorithm (ANFIS-PSO) [O] . Fateme Nazari Robati, Saeed Iranmanesh 2020

机译：通货膨胀率建模：自适应神经模糊推理系统方法和粒子群优化算法（ANFIS-PSO）
7. A Prediction of Precipitation Data Based on Support Vector Machine and Particle Swarm Optimization (PSO-SVM) Algorithms [O] . Jinglin Du, Yayun Liu, Yanan Yu, 2017

机译：基于支持向量机和粒子群优化（psO-sVm）算法的降水资料预测

Investigation on performance of particle swarm optimization (PSO) algorithm based fuzzy inference system (PSOFIS) in a combination of CFD modeling for prediction of fluid flow

著录项

引文网络

相似文献

相关主题

期刊订阅