Design and development of a model for tennis elbow injury prediction and prevention using Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) approaches. [PDF]
Patel H +3 more
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A neuro-fuzzy model for evaluating and predicting computational thinking skills of students. [PDF]
Filiz A.
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Intelligent demand-side energy management via optimized ANFIS-gene expression programming in hybrid renewable-grid systems. [PDF]
Elboughdiri N +5 more
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MPPT algorithms for grid-connected solar systems including deep learning approaches. [PDF]
Değermenci M, Yalman Y, Olcay K.
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Research on Adaptive Variable Impedance Control Method Based on Adaptive Neuro-Fuzzy Inference System. [PDF]
Wang X, Li C, Cai D, Cui Y.
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Performance measurement of high gain Landsman converter with ANFIS based MPPT and cascaded H-bridge thirty-one multilevel inverter in a single-phase grid-connected PV system. [PDF]
Kumar NB +4 more
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Neuro-fuzzy Model-based Control
Journal of Intelligent and Robotic Systems, 1998The paper deals with the Neuro-fuzzy model-based control and its application. Various types of the fuzzy logic and neural-net-based nonlinear autoregressive models with exogenous variables are reviewed with respect to the model error. Two types of model-based neuro-fuzzy control – a cancellation controller and a predictive controller are reviewed – and
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