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Fuzzy systems are universal approximators
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4612-5773-8openalex-snapshot
Linear Operator Theory in Engineering and Science
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Application of a fuzzy controller in a warm water plant
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Principles of mathematical analysis
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Fuzzy automata and decision processes
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Experiments with the use of a rule-based self-organising controller for robotics applications
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Multilayer feedforward networks are universal approximators
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Industrial applications of fuzzy logic control
inferredcites →https://doi.org/10.1016/s0165-0114(85)80011-7openalex-snapshot
Fuzzy control of model car
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Application of Fuzzy Controller to Automobile Speed Control System
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Fuzzy logic in control systems: fuzzy logic controller. I
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Fuzzy logic in control systems: fuzzy logic controller. II
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Use of a rule-based system for process control
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Fuzzy logic for control of roll and moment for a flexible wing aircraft
inferredcites →https://doi.org/10.1109/fuzzy.1992.258711openalex-snapshot
Back-propagation fuzzy system as nonlinear dynamic system identifiers
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Electronically Controlled Continuously Variable Transmission (ECVT-II)
inferredcites →https://doi.org/10.1109/isic.1991.187368openalex-snapshot
Generating fuzzy rules by learning from examples
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Expert System on a Chip: An Engine for Real-Time Approximate Reasoning
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The Current Mode Fuzzy Logic Integrated Circuits Fabricated by the Standard CMOS Process
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A Fuzzy Logic Controller for a Trafc Junction
inferredcites →https://doi.org/10.1201/9781420037593.ch18openalex-snapshot
Neural Networks and Fuzzy Systems
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Multilayer feedforward networks are universal approximators
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Online Real Time Fuzzy Inference System Based Human Health Monitoring and Medical Decision Making
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Sugeno, Mamdani, and fuzzy Mamdani controllers put in a uniform interpolation framework
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Fuzzy systems are universal approximators for a smooth function and its derivatives
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Online Identification of Self‐Organizing Fuzzy Neural Networks for Modeling Time‐Varying Complex Systems
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Adaptive dynamic surface control for unknown pure feedback non-affine systems with multiple constraints
inferred← citeshttps://doi.org/10.1007/s11071-026-12436-5openalex-snapshot
Actor-critic-based optimal distributed containment control of autonomous surface vehicles via the finite-time data-driven fuzzy predictor
inferred← citeshttps://doi.org/10.1007/s11227-007-0135-3openalex-snapshot
A reinforcement learning framework for online data migration in hierarchical storage systems
inferred← citeshttps://doi.org/10.1007/s11235-022-00955-6openalex-snapshot
Energy-aware neuro-fuzzy routing model for WSN based-IoT
inferred← citeshttps://doi.org/10.1007/s11269-020-02647-9openalex-snapshot
Artificial Neural Network and Fuzzy Inference System Models for Forecasting Suspended Sediment and Turbidity in Basins at Different Scales
inferred← citeshttps://doi.org/10.1007/s11277-018-5421-2openalex-snapshot
Adaptive Sliding Mode Control of Robot Manipulator Based on Second Order Approximation Accuracy and Decomposed Fuzzy Compensator
inferred← citeshttps://doi.org/10.1007/s11587-017-0340-1openalex-snapshot
A class of universal approximators of real continuous functions revisited
inferred← citeshttps://doi.org/10.1007/s11771-011-0760-0openalex-snapshot
Adaptive control using interval Type-2 fuzzy logic for uncertain nonlinear systems
inferred← citeshttps://doi.org/10.1007/s12239-009-0020-6openalex-snapshot
Design of ANFIS networks using hybrid genetic and SVD methods for modeling and prediction of rubber engine mount stiffness
inferred← citeshttps://doi.org/10.1007/s12351-014-0160-yopenalex-snapshot
New technology product demand forecasting using a fuzzy inference system
inferred← citeshttps://doi.org/10.1007/s12530-010-9009-7openalex-snapshot
A structure evolving learning method for fuzzy systems
inferred← citeshttps://doi.org/10.1007/s12530-011-9032-3openalex-snapshot
On-line elimination of local redundancies in evolving fuzzy systems
inferred← citeshttps://doi.org/10.1007/s12543-009-0019-8openalex-snapshot
About Premise Reduction of Fuzzy Inference Algorithm
inferred← citeshttps://doi.org/10.1007/s12543-009-0021-1openalex-snapshot
Design of Hybrid Genetic- SVD ANFIS Networks for Fatigue Life Modelling of GRP Composites
inferred← citeshttps://doi.org/10.1007/s12555-009-0420-4openalex-snapshot
Observer-based direct adaptive fuzzy control of uncertain nonlinear systems and its applications
inferred← citeshttps://doi.org/10.1007/s12555-012-0408-3openalex-snapshot
A robust interval Type-2 TSK Fuzzy Logic System design based on Chebyshev fitting
inferred← citeshttps://doi.org/10.1007/s13042-021-01298-5openalex-snapshot
A comparative experimental evaluation on performance of type-1 and interval type-2 Takagi-Sugeno fuzzy models
inferred← citeshttps://doi.org/10.1007/s40435-020-00636-9openalex-snapshot
Optimal fractional-order adaptive fuzzy control on inverted pendulum model
inferred← citeshttps://doi.org/10.1007/s40815-018-0509-0openalex-snapshot
On the Monotonicity Property of the TSK Fuzzy Inference System: The Necessity of the Sufficient Conditions and the Monotonicity Test
inferred← citeshttps://doi.org/10.1007/s40815-019-00793-wopenalex-snapshot
T-S Fuzzy Adaptive Control Based on Small Gain Approach for an Uncertain Robot Manipulators
inferred← citeshttps://doi.org/10.1007/s40815-026-02310-2openalex-snapshot
Fuzzy Adaptive Observation and Control of Robot Manipulators Based on Filtered Composite Learning
inferred← citeshttps://doi.org/10.1007/s40840-015-0269-zopenalex-snapshot
Universal Approximation of Reduced Fuzzy Basis Function With Ruspini Partitioning
inferred← citeshttps://doi.org/10.1007/s40890-026-00267-3openalex-snapshot
Driving Through Uncertainty: Fifty Years of Fuzzy Logic in Traffic and Transportation
inferred← citeshttps://doi.org/10.1007/s40998-021-00418-9openalex-snapshot
Paralleled DC–DC Converters Control Using Master–Slave Adaptive Fuzzy Backstepping Techniques
inferred← citeshttps://doi.org/10.1007/s41870-020-00456-2openalex-snapshot
Simulation and synthesis of TS fuzzy system using parallel distribution compensation technique
inferred← citeshttps://doi.org/10.1007/springerreference_60529openalex-snapshot
Neuro-fuzzy Control of Autonomous Robotics
inferred← citeshttps://doi.org/10.1016/0005-1098(94)90130-9openalex-snapshot
Sufficient conditions on general fuzzy systems as function approximators
inferred← citeshttps://doi.org/10.1016/0005-1098(95)00120-8openalex-snapshot
Nonlinear black-box modeling in system identification: a unified overview
inferred← citeshttps://doi.org/10.1016/0066-4138(94)90038-8openalex-snapshot
A computational intelligence perspective on process monitoring and optimization
inferred← citeshttps://doi.org/10.1016/0165-0114(93)90138-8openalex-snapshot
Analysis of function duplicating capabilities of fuzzy controllers
inferred← citeshttps://doi.org/10.1016/0165-0114(93)90503-aopenalex-snapshot
Fuzzy input-output controllers are universal approximators
inferred← citeshttps://doi.org/10.1016/0165-0114(94)90283-6openalex-snapshot
Can fuzzy neural nets approximate continuous fuzzy functions?
inferred← citeshttps://doi.org/10.1016/0165-0114(94)90329-8openalex-snapshot
Empirical study on learning in fuzzy systems by rice taste analysis
inferred← citeshttps://doi.org/10.1016/0165-0114(95)00075-5openalex-snapshot
An approach to systematic design of the fuzzy control system
inferred← citeshttps://doi.org/10.1016/0165-0114(95)00100-xopenalex-snapshot
Stability and the fuzzy controller
inferred← citeshttps://doi.org/10.1016/0165-0114(95)00151-4openalex-snapshot
Fuzzy models, modular networks, and hybrid learning
inferred← citeshttps://doi.org/10.1016/0165-0114(95)00263-4openalex-snapshot
Fuzzy control as a universal control tool
inferred← citeshttps://doi.org/10.1016/0165-0114(95)00336-3openalex-snapshot
Fuzzy adaptive control of a certain class of SISO discrete-time processes
inferred← citeshttps://doi.org/10.1016/0165-0114(95)00348-7openalex-snapshot
Fuzzy systems and approximation
inferred← citeshttps://doi.org/10.1016/0165-0114(95)00356-8openalex-snapshot
Mathematical analysis of the Sugeno controller leading to general design rules
inferred← citeshttps://doi.org/10.1016/0165-0114(95)00413-0openalex-snapshot
A simple but powerful heuristic method for generating fuzzy rules from numerical data
inferred← citeshttps://doi.org/10.1016/0888-613x(94)90006-xopenalex-snapshot
Interpolation of fuzzy if-then rules by neural networks
inferred← citeshttps://doi.org/10.1016/0888-613x(95)00016-aopenalex-snapshot
Algorithmic aspects of fuzzy control
inferred← citeshttps://doi.org/10.1016/0952-1976(95)00029-zopenalex-snapshot
Training fuzzy systems to perform estimation and identification
inferred← citeshttps://doi.org/10.1016/1069-0115(94)90008-6openalex-snapshot
Freeway traffic control using fuzzy logic controllers
inferred← citeshttps://doi.org/10.1016/b978-0-08-042236-7.50007-9openalex-snapshot
A COMPUTATIONAL INTELLIGENCE PERSPECTIVE ON PROCESS MONITORING AND OPTIMIZATION
inferred← citeshttps://doi.org/10.1016/b978-0-12-386914-2.00015-7openalex-snapshot
Process Modeling in the Natural Gas Processing Industry
inferred← citeshttps://doi.org/10.1016/b978-0-12-813592-1.00020-9openalex-snapshot
Enhanced Fractional Order Indirect Fuzzy Adaptive Synchronization of Uncertain Fractional Chaotic Systems Based on the Variable Structure Control
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