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CoRR, 2023 We break the linear link between the layer size and its inference cost by introducing the fast feedforward (FFF) architecture, a log-time alternative to feedforward networks. We demonstrate that FFFs are up to 220x faster than feedforward networks, up to 6x faster than mixture-of-experts networks, and exhibit better training properties than mixtures of
Peter Belcak, Roger Wattenhofer
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Exploring feedback and feedforward in dental education using a followership model [PDF]
Frontiers in Dental MedicineObjectivesThe study aimed to explore the feedback and feedforward quality in the clinical setting and the usability of a followership model as a framework to analyze and map students' peer feedback.MethodFeedback and feedforward from 59 fourth-year ...
Christina Gummesson, Nina Lundegren
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Feedforward Control of Electrical Drives - Rules and Limits [PDF]
Advances in Electrical and Electronic Engineering, 2011 Nowadays, there are several application in the field of position controlled electric drives, such as high speed cutting, where traditional cascade control structures provide insufficient accuracy.
Michal Malek +2 more
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Applied Sciences, 2021 The shunt active power filter (SAPF) is a widely used tool for compensation of disturbances in three-phase electric power systems. A high number of control methods have been successfully developed, including strategies based on artificial neural networks.
Juan L. Flores-Garrido +2 more
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Feedforwarding Under Sampling [PDF]
IEEE Transactions on Automatic Control, 2019 The paper deals with stabilization of feedforward multiple cascade dynamics under sampling. It is shown that u -average passivity concepts and Lyapunov methods can be profitably exploited to provide a systematic sampled-data design procedure. The proposed methodology recalls the continuous-time feedforwarding steps and can be applied under the same ...
Mattia Mattioni +2 more
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Holomorphic feedforward networks [PDF]
Pure and Applied Mathematics Quarterly, 2022 13 pages, version to appear in ...
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Feedforward for Robust Reference Tracking in Multi-Input Feedback Control [PDF]
, 2021 This paper examines methods to incorporate feedforward loops of known external inputs (output reference) into a multi-input feedback control structure to achieve certain robust performance of its output.
Rico-Azagra, Javier [0000-0002-5500-6093] +3 more
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A Review of the Artificial Neural Network Models for Water Quality Prediction
Applied Sciences, 2020 Water quality prediction plays an important role in environmental monitoring, ecosystem sustainability, and aquaculture. Traditional prediction methods cannot capture the nonlinear and non-stationarity of water quality well.
Yingyi Chen +4 more
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Combined feedback–feedforward control of Ćuk CCM converter for achieving fast transient response
IET Circuits, Devices and Systems, 2022 The Ćuk converters operating in continuous conduction mode (CCM) can be preferred in applications such as microprocessor power delivery and pulsed load because these circuits have advantages of being able to step up/down, a small number of power ...
Byeongcheol Han +2 more
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Intrathyroidal feedforward and feedback network regulating thyroid hormone synthesis and secretion
Frontiers in Endocrinology, 2022 Thyroid hormones (THs), including T4 and T3, are produced and released by the thyroid gland under the stimulation of thyroid-stimulating hormone (TSH).
Li Jing, Qiang Zhang
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