A neuro-fuzzy model for evaluating and predicting computational thinking skills of students. [PDF]
Filiz A.
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Smart Irrigation with Fuzzy Decision Support Systems in Trentino Vineyards. [PDF]
Silvestri R +3 more
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Metamaterial absorber using cascaded ring resonators and optimization through machine learning for sensing applications. [PDF]
Rakhshani MR, Kazemi F, Rashki M.
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Optimal control strategy for electric vehicle powered by PV arrays and battery using sliding mode control and linear quadratic regulator. [PDF]
Gul BT +5 more
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Self-learning adaptive neuro-fuzzy approximation of robust control behavior in electric power steering systems. [PDF]
Nguyen TA +4 more
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Adaptive neuro-fuzzy control system
With the growing interest of using fuzzy logic in our world, adaptive fuzzy logic is keenly researched in the recent decades. One promising way of making fuzzy logic adaptable is to blend it with neural network, which itself is inherently suited to self-learning application. Neural fuzzy systems are frequently used in control applications (Lin and Lee,
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Interval type-2 intelligent fuzzy vehicle speed controller design using headlamp reflection detection and an adaptive neuro-fuzzy inference system. [PDF]
Ryu SM, Choi KH, Chang HJ.
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DDoS attack detection in intelligent transport systems using adaptive neuro-fuzzy inference system. [PDF]
Usha G +3 more
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AI-driven advances in plant biotechnology: sharpening the edge of plant tissue culture and genome editing. [PDF]
Narra M +4 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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