Training ANFIS as an identifier with intelligent hybrid stable learning algorithm based on particle swarm optimization and extended Kalman filter

DOI10.1016/j.fss.2008.09.011zbMath1182.68184OpenAlexW2020468367MaRDI QIDQ1037915

Mahdi Aliyari Shoorehdeli, Mohammad Teshnehlab, Ali Khaki-Sedigh

Publication date: 17 November 2009

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2008.09.011

zbMATH Keywords

identificationstability analysisextended Kalman filterparticle swarm optimizationANFIShybrid learning algorithm

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Adaptive network-based fuzzy inference system with leave-one-out cross-validation approach for prediction of surface roughness ⋮ The fuzzy Kalman filter: improving its implementation by reformulating uncertainty representation ⋮ Training ANFIS as an identifier with intelligent hybrid stable learning algorithm based on particle swarm optimization and extended Kalman filter ⋮ An enhanced discriminability recurrent fuzzy neural network for temporal classification problems

Uses Software

• ANFIS

Cites Work

• NN-driven fuzzy reasoning
• The fuzzy Kalman filter: state estimation using possibilistic techniques
• Training ANFIS as an identifier with intelligent hybrid stable learning algorithm based on particle swarm optimization and extended Kalman filter
• A fuzzy logic controller with learning through the evolution of its knowledge base
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• Fuzzy Kalman filtering
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• Stability analysis and stabilization of fuzzy state space models
• Sequential adaptive fuzzy inference system (SAFIS) for nonlinear system identification and prediction
• Averages on the Move
• Oscillation and Chaos in Physiological Control Systems
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