Results 91 to 100 of about 2,867,003 (376)

Short-Term Photovoltaic Power Forecasting Based on Long Short Term Memory Neural Network and Attention Mechanism

open access: yesIEEE Access, 2019
Photovoltaic power generation forecasting is an important topic in the field of sustainable power system design, energy conversion management, and smart grid construction.
Hangxia Zhou   +5 more
semanticscholar   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network

open access: yesEnergies, 2018
Accurate electrical load forecasting is of great significance to help power companies in better scheduling and efficient management. Since high levels of uncertainties exist in the load time series, it is a challenging task to make accurate short-term ...
Chujie Tian   +3 more
semanticscholar   +1 more source

Inhibition of Connexin43 hemichannels impairs spatial short-term memory without affecting spatial working memory [PDF]

open access: yes, 2016
Astrocytes are active players in higher brain function as they can release gliotransmitters, which are essential for synaptic plasticity. Various mechanisms have been proposed for gliotransmission, including vesicular mechanisms as well as non-vesicular ...
Albertini, Giulia   +5 more
core   +2 more sources

Neural Network Adaptive Control With Long Short‐Term Memory

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
ABSTRACT In this study, we propose a novel adaptive control architecture that provides dramatically better transient response performance compared to conventional adaptive control methods. This is accomplished by the synergistic employment of a traditional adaptive neural network (ANN) controller and a long short‐term memory (LSTM) network.
Emirhan Inanc   +4 more
wiley   +1 more source

Meningeal γδ T cell–derived IL-17 controls synaptic plasticity and short-term memory

open access: yesScience immunology, 2019
Meningeal γδ T cells are biased toward IL-17 production and control hippocampal synaptic plasticity and short-term memory. T cells that promote memories There is now a growing appreciation of cross-talk between the nervous and immune systems.
M. Ribeiro   +15 more
semanticscholar   +1 more source

The Short Term Memory Structure In State-Of-The Art Recall/Recognition Experiments of Rubin, Hinton and Wentzel [PDF]

open access: yes, 2005
Properties of a short term memory structure are discovered in the data of Rubin, Hinton and Wenzel (1999): Recall (recognition) probabilities and search times are linearly related through stimulus presentation lags from 6 seconds to 600 (350) seconds ...
Tarnow, Dr. Eugen
core  

Short-term social memory in the laboratory rat: its susceptibility to disturbance. [PDF]

open access: yes, 1999
Short-term social memory in the laboratory rat: its susceptibility to ...
Barnett   +32 more
core   +1 more source

The Evolution of Primate Short-Term Memory

open access: yesAnimal Behavior and Cognition, 2020
Short-term memory is implicated in a range of cognitive abilities and is critical for understanding primate cognitive evolution. To investigate the effects of phylogeny, ecology and sociality on short-term memory, we tested the largest and most diverse primate sample to date (421 non-human primates across 41 species) in an experimental delayed-response
ManyPrimates   +83 more
openaire   +11 more sources

Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control

open access: yesAdvanced Engineering Materials, EarlyView.
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian   +4 more
wiley   +1 more source

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