Results 41 to 50 of about 190,933 (296)
IEEE Access, 2019 We developed a method using a digital camera combined with fitting algorithm and T-S fuzzy neural network (T-S fnn) to measure the water turbidity accurately and efficiently.
Pingping Cao +4 more
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General fuzzy min-max neural network for clustering and classification [PDF]
, 2000 This paper describes a general fuzzy min-max (GFMM) neural network which is a generalization and extension of the fuzzy min-max clustering and classification algorithms of Simpson (1992, 1993).
Bargiela, Andrzej, Gabrys, Bogdan
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Fuzzy Neural Networks with Fuzzy Weights
Transactions of the Institute of Systems, Control and Information Engineers, 1993 In this paper, we first propose an architecture of neural networks that have fuzzy weights and fuzzy biases. A neural network with the proposed architecture maps an input vector of real numbers to an output of fuzzy number. Therefore the neural network can be viewed as an approximator of non-linear fuzzy functions from real vectors to fuzzy numbers ...
Hisao ISHIBUCHI +2 more
openaire +2 more sources
Conductive Hydrogels for Exogenous Sensing and Cell Fate Control
Advanced Materials, EarlyView.We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar +15 more
wiley +1 more source
Aplikasi Sistem Neuro-Fuzzy Untuk Pengenalan Kata [PDF]
, 2002 This paper describes implementation of neuro-fuzzy system, a hybrid system between neural network and fuzzy logic. In this research, neuro-fuzzy system is implemented for speech recognition.
Chandra, S. (Suntono) +2 more
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Advanced Materials Technologies, EarlyView.This manuscript describes the design and validation of an innovative melt electrowriting printer. With a turntable collector and modular software architecture, it unifies previous advanced MEW printer capabilities and enhances adaptability for a wide range of research applications.
Timo Baroth +3 more
wiley +1 more source
A New Short Term Electrical Load Forecasting by Type-2 Fuzzy Neural Networks
Energies, 2022 In this study, we present a new approach for load forecasting (LF) using a recurrent fuzzy neural network (RFNN) for Kermanshah City. Imagine if there is a need for electricity in a region in the coming years, we will have to build a power plant or ...
Man-Wen Tian +7 more
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Advanced Materials Technologies, EarlyView.Soft multimaterial optical fibers integrate multiple functionalities—such as waveguiding, side emission, sensing, drug delivery or actuation—into a single filament for wearable, implantable, and tissue‐integrated devices for diagnostics and phototherapy.
Zahra Kafrashian +2 more
wiley +1 more source
Fuzzy neural network based estimation of power electronic waveforms
Eletrônica de Potência, 1996 Neural networks and fuzzy logic are showing a good promise for application in power electronics and motion control systems. They have been applied in feedback control of converter and drives, estimation of waveforms and signals, and performance ...
M. Godoy Simões, Bimal K. Bose
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Adaptive Sliding Mode Long Short-Term Memory Fuzzy Neural Control for Harmonic Suppression
IEEE Access, 2021 In this paper, an adaptive sliding mode controller based on a long and short-term memory fuzzy neural network (ASMC-LSTMFNN) is proposed to suppress harmonics for an active power filter (APF). Firstly, a mathematical dynamic model of a single-phase shunt
Lunhaojie Liu, Juntao Fei, Cuicui An
doaj +1 more source