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A

Ahmad Bagheri

University of Guilan

23H指数
88论文数
1.8K被引数
收录论文 15
发表时间
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Intelligent bearing fault diagnosis using swarm decomposition method and new hybrid particle swarm optimization algorithm
errSOFT COMPUTING
IF2.5
err2021-09-30
err16
PREAI
errChegini, Saeed Nezamivand; Amini, Pouriya; Ahmadi, Bahman; Bagheri, Ahmad; Amirmostofian, Illia
err分享
err收藏
New bearing slight degradation detection approach based on the periodicity intensity factor and signal processing methods
errMEASUREMENT
IF5.6
err2021-01-01
err7
PREAI
errChegini, Saeed Nezamivand; Manjili, Mohammad Javad Haghdoust; Ahmadi, Bahman; Amirmostofian, Ilia; Bagheri, Ahmad
err分享
err收藏
Multi-objective differential evolution algorithm with fuzzy inference-based adaptive mutation factor for Pareto optimum design of suspension system
errSWARM AND EVOLUTIONARY COMPUTATION
IF8.5
err2020-05-01
err26
PREAI
errJamali, A.; Mallipeddi, Rammohan; Salehpour, M.; Bagheri, A.
err分享
err收藏
A new adjusting technique for PID type fuzzy logic controller using PSOSCALF optimization algorithm
errAPPLIED SOFT COMPUTING
IF6.6
err2019-12-01
err42
PREAI
errBejarbaneh, Elham Yazdani; Bagheri, Ahmad; Bejarbaneh, Behnam Yazdani; Buyamin, Salinda; Chegini, Saeed Nezamivand
err分享
err收藏
A new intelligent fault diagnosis method for bearing in different speeds based on the FDAF-score algorithm, binary particle swarm optimization, and support vector machine
errSOFT COMPUTING
IF2.5
err2019-11-11
err14
PREAI
errChegini, Saeed Nezamivand; Bagheri, Ahmad; Najafi, Farid
err分享
err收藏
Application of a new EWT-based denoising technique in bearing fault diagnosis
errMEASUREMENT
IF5.6
err2019-10-01
err123
PREAI
errChegini, Saeed Nezamivand; Bagheri, Ahmad; Najafi, Farid
err分享
err收藏
PSOSCALF: A new hybrid PSO based on Sine Cosine Algorithm and Levy flight for solving optimization problems
errAPPLIED SOFT COMPUTING
IF6.6
err2018-12-01
err190
PREAI
errChegini, Saeed Nezamivand; Bagheri, Ahmad; Najafi, Farid
err分享
err收藏
A new adaptive differential evolution optimization algorithm based on fuzzy inference system
errENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
IF5.4
err2017-04-01
err22
errOAAI
errSalehpour, M.; Jamali, A.; Bagheri, A.; Nariman-zadeh, N.
err分享
err收藏
Financial forecasting using ANFIS networks with Quantum-behaved Particle Swarm Optimization
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2014-10-01
err132
PREAI
errBagheri, Ahmad; Peyhani, Hamed Mohammadi; Akbari, Mohsen
err分享
err收藏
Optimal robust sliding mode tracking control of a biped robot based on ingenious multi-objective PSO
errNEUROCOMPUTING
IF6.5
err2014-01-01
err52
PREAI
errMahmoodabadi, M. J.; Taherkhorsandi, M.; Bagheri, A.
err分享
err收藏
A novel combination of Particle Swarm Optimization and Genetic Algorithm for Pareto optimal design of a five-degree of freedom vehicle vibration model
errAPPLIED SOFT COMPUTING
IF6.6
err2013-05-01
err55
PREAI
errMahmoodabadi, M. J.; Safaie, A. Adljooy; Bagheri, A.; Nariman-zadeh, N.
err分享
err收藏
Tracking performance control of a cable communicated underwater vehicle using adaptive neural network controllers
errAPPLIED SOFT COMPUTING
IF6.6
err2010-06-01
err59
PREAI
errBagheri, A.; Karimi, T.; Amanifard, N.
err分享
err收藏
An adaptive neuro-fuzzy sliding mode based genetic algorithm control system for under water remotely operated vehicle
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2010-01-01
err69
PREAI
errJavadi-Moghaddam, J.; Bagheri, A.
err分享
err收藏
Decoupled adaptive neuro-fuzzy (DANF) sliding mode control system for a Lorenz chaotic problem
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2009-04-01
err30
PREAI
errBagheri, Ahmad; Moghaddam, Jalal Javadi
err分享
err收藏
Simulation and tracking control based on neural-network strategy and sliding-mode control for underwater remotely operated vehicle
errNEUROCOMPUTING
IF6.5
err2009-03-01
err57
PREAI
errBagheri, Ahmad; Moghaddam, Jalal Javadi
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
F
Farid Najafi
H 指数: 44 · 论文数: 235
R
Rammohan Mallipeddi
H 指数: 40 · 论文数: 270
N
N. Nariman-zadeh
H 指数: 30 · 论文数: 134
A
Ali Jamali
H 指数: 27 · 论文数: 158
M
M. J. Mahmoodabadi
H 指数: 22 · 论文数: 119
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