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Neural Dynamics of Feedforward and Feedback Processing in Figure-Ground Segregation [PDF]

open access: yesFrontiers in Psychology, 2014
Determining whether a region belongs to the interior or exterior of a shape (figure-ground segregation) is a core competency of the primate brain, yet the underlying mechanisms are not well understood.
Oliver W. Layton   +2 more
doaj   +4 more sources

Nonlinear Loads Compensation Using a Shunt Active Power Filter Controlled by Feedforward Neural Networks

open access: yesApplied 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
doaj   +1 more source

Feedforwarding Under Sampling [PDF]

open access: yesIEEE 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
openaire   +1 more source

Fast Feedforward Networks

open access: yesCoRR, 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
openaire   +2 more sources

A flow disturbance estimation and rejection strategy for multirotors with round-trip trajectories [PDF]

open access: yes, 2020
This paper presents a round-trip strategy of multirotors subject to unknown flow disturbances. During the outbound flight, the vehicle immediately utilizes the wind disturbance estimations in feedback control, as an attempt to reduce the tracking error ...
Byun, Jaeseung   +2 more
core   +2 more sources

A Review of the Artificial Neural Network Models for Water Quality Prediction

open access: yesApplied 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
doaj   +1 more source

Combined feedback–feedforward control of Ćuk CCM converter for achieving fast transient response

open access: yesIET 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
doaj   +1 more source

Holomorphic feedforward networks [PDF]

open access: yesPure and Applied Mathematics Quarterly, 2022
13 pages, version to appear in ...
openaire   +2 more sources

Intrathyroidal feedforward and feedback network regulating thyroid hormone synthesis and secretion

open access: yesFrontiers 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
doaj   +1 more source

Design of an adaptive neural predictive nonlinear controller for nonholonomic mobile robot system based on posture identifier in the presence of disturbance [PDF]

open access: yes, 2020
This paper proposes an adaptive neural predictive nonlinear controller to guide a nonholonomic wheeled mobile robot during continuous and non-continuous gradients trajectory tracking.
Abbod, MF   +2 more
core   +1 more source

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