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The design of TSK‐type fuzzy controllers using a new hybrid learning approach
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-94-011-2014-2_43openalex-snapshot
A Self-Tuning Method of Fuzzy Inference Rules by Descent Method
inferredcites →https://doi.org/10.1007/bf00114722openalex-snapshot
Efficient reinforcement learning through symbiotic evolution
inferredcites →https://doi.org/10.1016/0005-1098(85)90049-4openalex-snapshot
Digital control system analysis and design
inferredcites →https://doi.org/10.1016/s0005-1098(97)82236-4openalex-snapshot
Digital control system analysis and design
inferredcites →https://doi.org/10.1017/s0269888900007840openalex-snapshot
Soft computing: fuzzy logic, neural networks and distributed artificial intelligence by F. Aminzadeh and M. Jamshidi (Eds.), PTR Prentice Hall, Englewood Cliffs, NJ, pp 301, ISBN 0-13-146234-2.
inferredcites →https://doi.org/10.1109/21.52551openalex-snapshot
Fuzzy logic in control systems: fuzzy logic controller. I
inferredcites →https://doi.org/10.1109/3477.836377openalex-snapshot
Genetic reinforcement learning through symbiotic evolution for fuzzy controller design
inferredcites →https://doi.org/10.1109/41.170970openalex-snapshot
Process control by on-line trained neural controllers
inferredcites →https://doi.org/10.1109/4235.887234openalex-snapshot
Fitness landscape analysis and memetic algorithms for the quadratic assignment problem
inferredcites →https://doi.org/10.1109/9.119645openalex-snapshot
Nonlinear control via approximate input-output linearization: the ball and beam example
inferredcites →https://doi.org/10.1109/91.388168openalex-snapshot
Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms
inferredcites →https://doi.org/10.1109/91.649900openalex-snapshot
An ART-based fuzzy adaptive learning control network
inferredcites →https://doi.org/10.1109/91.963761openalex-snapshot
Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive
inferredcites →https://doi.org/10.1109/91.995117openalex-snapshot
DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction
inferredcites →https://doi.org/10.1109/91.995118openalex-snapshot
A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithms
inferredcites →https://doi.org/10.1109/fuzzy.1992.258618openalex-snapshot
A learning method of fuzzy inference rules by descent method
inferredcites →https://doi.org/10.1109/icnn.1995.488990openalex-snapshot
Speaker identification using hybrid LVQ-SLP networks
inferredcites →https://doi.org/10.1109/robot.1989.100183openalex-snapshot
Learning control with neural networks
inferredcites →https://doi.org/10.1109/tfuzz.1993.390283openalex-snapshot
Fuzzy control of pH using genetic algorithms
inferredcites →https://doi.org/10.1109/tfuzz.2003.814839openalex-snapshot
A new kernel-based fuzzy clustering approach: support vector clustering with cell growing
inferredcites →https://doi.org/10.1109/tnn.2002.1031940openalex-snapshot
GenSoFNN: a generic self-organizing fuzzy neural network
inferredcites →https://doi.org/10.1109/tsmc.1985.6313399openalex-snapshot
Fuzzy identification of systems and its applications to modeling and control
inferredcites →https://doi.org/10.1109/tsmcb.2003.810872openalex-snapshot
Evolutionary learning of bmf fuzzy-neural networks using a reduced-form genetic algorithm
inferredcites →https://doi.org/10.1109/tsmcb.2003.812850openalex-snapshot
Popfnn-cri(s): pseudo outer product based fuzzy neural network using the compositional rule of inference and singleton fuzzifier
inferredcites →https://doi.org/10.1142/4177#t=tocopenalex-snapshot
Genetic Fuzzy Systems: Evolutionary Tuning And Learning Of Fuzzy Knowledge Bases
inferredcites →https://doi.org/10.1142/afsatopenalex-snapshot
Advances in Fuzzy Systems — Applications and Theory
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/acs.2298openalex-snapshot
Adaptive prediction and control of discrete‐time Takagi–Sugeno fuzzy systems
inferred← citeshttps://doi.org/10.1007/s00500-008-0364-2openalex-snapshot
Processing time estimations by variable structure TSK rules learned through genetic programming
inferred← citeshttps://doi.org/10.1007/s10489-010-0271-yopenalex-snapshot
A self-organization mining based hybrid evolution learning for TSK-type fuzzy model design
inferred← citeshttps://doi.org/10.1016/j.asoc.2008.06.004openalex-snapshot
A novel parametric fuzzy CMAC network and its applications
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106582openalex-snapshot
Application of neuro-fuzzy ensembles across domains: A systematic review of the two last decades (2000–2022)
inferred← citeshttps://doi.org/10.1016/j.eswa.2012.02.190openalex-snapshot
The partial solutions consideration based self-adaptive evolutionary algorithm: A learning structure of neuro-fuzzy networks
inferred← citeshttps://doi.org/10.1016/j.fss.2012.10.011openalex-snapshot
Adaptive control of discrete-time state-space T–S fuzzy systems with general relative degree
inferred← citeshttps://doi.org/10.1016/j.ifacol.2016.07.119openalex-snapshot
The effects of ICU specific nutrition management, as a human factor by using Stochastic Targeted glycaemic control**Research is supported by EU FP7 IRSES, Engineering Technology based Innovation in Medicine, Grant No. 318943 and Hungarian National Scientific Research Foundation, Grant No. Kl…
inferred← citeshttps://doi.org/10.1016/j.mechatronics.2008.08.004openalex-snapshot
A study of drilling performances with minimum quantity of lubricant using fuzzy logic rules
inferred← citeshttps://doi.org/10.1016/j.neucom.2008.12.027openalex-snapshot
Reinforcement group cooperation-based symbiotic evolution for recurrent wavelet-based neuro-fuzzy systems
inferred← citeshttps://doi.org/10.1109/aiccsa56895.2022.10017811openalex-snapshot
Neuro-fuzzy ensembles: A systematic mapping study
inferred← citeshttps://doi.org/10.1504/ijmms.2010.029878openalex-snapshot
TSK-type fuzzy rule based modelling of machining on MMCs
inferred← citeshttps://doi.org/10.3233/ifs-2012-0620openalex-snapshot
Using multiple-strategy evolutionary neural fuzzy network to automatically identify disorientation problems: A Web-based system application
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