[PDF] Top 20 An ART-based fuzzy adaptive learning control network
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An ART-based fuzzy adaptive learning control network
... An 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 ... 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 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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A GA-based fuzzy adaptive learning control network
... Learned fuzzy rules in the truck backing-upper control ...the fuzzy ART algorithm. During this learning phase, all the six sets of learning trajectories are pre- sented for ... See full document
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FUZZY ADAPTIVE LEARNING CONTROL NETWORK WITH ONLINE NEURAL LEARNING
... Given the supervised training data, the proposed learning algorithm first decides whether or not to perform the structure learning based on the fuzzy similarity measure o[r] ... See full document
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Direct adaptive iterative learning control of nonlinear systems using an output-recurrent fuzzy neural network
... direct adaptive iterative learning con- trol (DAILC) based on a new output-recurrent fuzzy neural net- work (ORFNN) is presented for a class of repeatable nonlinear sys- tems with unknown ... 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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Temperature control of rapid thermal processing system using adaptive fuzzy network
... They are created dynam- ically as learning proceeds upon receiving on-line incoming training data by performing the following learning processes simultaneously: (A) [r] ... See full document
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An Anomaly Intrusion Detection on Database Operation by Fuzzy ART Neural Network
... the Adaptive Resonance Theory neural network to build a model of company security ...by ART network that is based on analysis the log file of connections from client sides to the ... See full document
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Fuzzy-identification-based adaptive backstepping control using a self-organizing fuzzy system
... the adaptive backstepping control ...parameter learning is used to on-line estimate the controlled system ...structure learning considers both growing and pruning of fuzzy ...its ... See full document
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A functional-link-based fuzzy neural network for temperature control
... The second set of simulations is performed to elucidate the noise-rejection ability of the five controllers when some unknown impulse noise is imposed on the process. One impulse noise value −5 ° C is added to the plant ... See full document
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Self-organizing fuzzy control of multi-variable systems using learning vector quantization network
... Using learning vector quantization (LVQ) network to construct a self-organizing fuzzy controller (SOFC) for multi- variable nonlinear composite systems is developed in this ...LVQ network is ... See full document
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Adaptive fuzzy command acquisition with reinforcement learning
... the fuzzy command “move forward at a very high ...the fuzzy command input, which is used to specify the desired information, and the network requires no acoustic, prosodic, grammar, and syntactic ... See full document
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Self organizing neural-network-based adaptive control for linear ultrasonic motor
... proposed SONNAC after the structure and parameter learning phases. Moreover, the SONNAC can on-line create new neurons in the hidden layer as the approximation of neural network is not g[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 the ... See full document
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Nonlinear System Control Using Adaptive Neural Fuzzy Networks Based on a Modified Differential Evolution
... for an ANFN (ANFN-MODE). The proposed MODE learning algorithm has two crucial ...employs an adaptive parameter to adjust the scaling factor of the traditional DE algo- ... See full document
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Adaptive asymmetric fuzzy neural network controller design via network structuring adaptation
... Therefore, an adaptive self-structuring asymmetric fuzzy neural-network control (ASAFNC) system, which consists of an SFNN controller and a robust controller, is ...utilizes ... See full document
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Recurrent-neural-network-based adaptive-backstepping control for induction servomotors
... as an Associate Pro- fessor at Chiao Tung University and Chung Yuan University, Taiwan, ...include fuzzy neural networks (NNs), cerebellar-model articulation control, guidance and flight ... See full document
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An intelligent image retrieval system by integrating multiple features with a fuzzy adaptive resonance theory network
... the fuzzy ART technique to cluster similar images, some parameters need to be set, such as the vigilance value and the learning ...the learning parameter set to be ...when an image is ... See full document
11
Temperature control with a neural fuzzy inference network
... the fuzzy logic controllers (FLC’s) and the neural controllers based on multilayered backpropagation neural networks (BPNN’s) has inspired new resources for the possible realization of better and more ... See full document
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