[PDF] Top 20 Genetic-based reinforcement learning for fuzzy logic control systems
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Genetic-based reinforcement learning for fuzzy logic control systems
... The proposed GR-FLCS is constructed by integrating a real-coded genetic algorithm with a time accumulator as the fitness evaluator, a success criterion, a fuzzy logic controller[r] ... See full document
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REINFORCEMENT STRUCTURE PARAMETER LEARNING FOR NEURAL-NETWORK-BASED FUZZY-LOGIC CONTROL-SYSTEMS
... After the consequents of rule nodes are determined for both the action and evaluation networks (i.e., when the structure leaming process is done and the structure will not be [r] ... See full document
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Reinforcement learning for an ART-based fuzzy adaptive learning control network
... IEEE TRANSACTIONS ON NEURAL. 3, MAY 1996 reinforcement signals from the critic network, which has only one output node since it is used to predict the external scalar reinforcem[r] ... See full document
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GA-based fuzzy reinforcement learning for control of a magnetic bearing system
... 1) Learning Algorithm for the Critic Network: When both the reinforcement signal and input patterns from the environ- ment depend arbitrarily on the past history of the action net- work outputs and ... See full document
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Genetic reinforcement learning through symbiotic evolution for fuzzy controller design
... supervised learning algorithms that require exact supervised input-output training ...new genetic reinforcement learning algorithm, called the SEFC design method, is proposed for ... See full document
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Reinforcement learning for an ART-based fuzzy adaptive learning control network (vol 7, pg 709, 1996)
... ART-Based Fuzzy Adaptive Learning Control Network" Cheng-Jian Lin and Chin-Teng Lin.. qtemal '.[r] ... See full document
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Reinforcement hybrid evolutionary learning for recurrent wavelet-based neurofuzzy systems
... the learning process was stopped, we chose the best string in the popula- tion in the final generation and tested it on the ball and beam ...obtained fuzzy rules of the RWNFS using the R-HELA method are ... See full document
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Stepwise genetic fuzzy logic signal control under mixed traffic conditions
... adaptively control the ...However, for the intersections with only one set of sensors, queue length can still be estimated on the basis of traf fic flow theories, for example, shockwave method proposed ... See full document
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Genetic fuzzy logic traffic signal control with cell transmission modeling
... signal control model based on an iterative genetic fuzzy logic controller ...as control variable, toward the minimization of total vehicle delays. For the learning ... See full document
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Reinforcement group cooperation-based symbiotic evolution for recurrent wavelet-based neuro-fuzzy systems
... a control network and a critic ...a control action of the state denoted by ...a reinforcement signal that notifies the RWNFS only when a failure ... See full document
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Hierarchical Rule-based Monitoring and Fuzzy Logic Control for Neuromuscular Block
... Fuzzy logic not only accommodates uncertainty by dealing with imprecise, qualitative terms such as low, medium and high, but also provides control rules which are easy to understand and modify when ... See full document
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A reinforcement neuro-fuzzy combiner for multiobjective control
... ment learning capability to work as the gating ...multiobjective fuzzy controller. It is assumed that each low-level (fuzzy or nonfuzzy) controller has been well designed to serve a particular ... See full document
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Self-learning fuzzy sliding-mode control for antilock braking systems
... vehicle control system that provides desired safety and vehicle motion, an antilock braking system (ABS) should maintain brake torque to provide maximum wheel trac- tion ...are based on a look-up tabular ... See full document
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Self-tuning fuzzy logic control for ultrasound hyperthermia with reference temperature based on objective functions
... self-tuning fuzzy logic controller, objective function, reference temperature, control temperature, scanned focused ultrasound hyperthermia ...applied control systems to hyperthermia ... See full document
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An ART-based fuzzy adaptive learning control network
... ART-Based Fuzzy Adaptive Learning Control Network Cheng-Jian Lin, Member, IEEE , and Chin-Teng Lin, Member, IEEE Abstract—This paper addresses the structure and an associated on-line ... See full document
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A GA-based fuzzy adaptive learning control network
... Learned fuzzy rules in the truck backing-upper control ...sen for the fuzzy ART algorithm. During this learning phase, all the six sets of learning trajectories are pre- sented ... See full document
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Observer-based direct adaptive fuzzy-neural control for nonaffine nonlinear systems
... Since 1990, he has served concurrently as a patent screening Member of the National Intellectual Prop- erty Office, Ministry of Economic Affairs, Taiwan. In 1994, he was appointed as Associate Professor in the Department ... See full document
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Intelligent scheduling controller for shop floor control systems: a hybrid genetic algorithm/decision tree learning approach
... optimal subset of system attributes. Otherwise, the GA module performs selection, crossover and mutation operations to generate a new population. 6.2. DT knowledge learning/evaluation module The DT module has two ... See full document
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Combined fuzzy-based rate management and selective power control for multimedia CDMA cellular systems
... MOBILE SYSTEMS; RADIO SYSTEMS; PERFORMANCE; LOGIC Abstract: Power control mechanisms are essential for CDMA wireless communication systems to enhance user ...power control ... See full document
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Combined fuzzy-based rate management and selective power control for multimedia CDMA cellular systems
... information systems;Mobile computing;Multimedia systems;Network protocols;Number theory;Numerical methods;Power control;Probability;Random processes;Statistical process ... See full document
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