Results 261 to 270 of about 395,648 (314)

Predictive Modeling of Osteonecrosis of the Femoral Head Progression Using MobileNetV3_Large and Long Short-Term Memory Network: Novel Approach. [PDF]

JMIR Med Inform
Kong G, Zhang Q, Liu D, Pan J, Liu K.
europepmc   +1 more source

An enhanced adaptive dynamic metaheuristic optimization algorithm for rainfall prediction depends on long short-term memory. [PDF]

PLoS One
Elshewey AM, Alhussan AA, Khafaga DS, Radwan M, El-Kenawy EM, Khodadadi N.   +5 more
europepmc   +1 more source

Music audio emotion regression using the fusion of convolutional neural networks and bidirectional long short-term memory models. [PDF]

PeerJ Comput Sci
Qiu Y, Lin Y, Lin Y.
europepmc   +1 more source

Macroeconomic-aware forecasting of construction costs in developing countries: Using gated recurrent unit and long short-term memory deep learning framework. [PDF]

PLoS One
Alzara M, Gihad N, Abdou H, Soltan A, Hilal A, Ehab A, Ehab A.   +6 more
europepmc   +1 more source

Convolutional Long Short-Term Memory network for generating 100 m daily near-surface air temperature. [PDF]

Sci Data
Sun M, Meng Q, Zhang L, Hu X, Lei X, Chen S, Hou J.   +6 more
europepmc   +1 more source

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Relationship between short- and long-term memory and short- and long-term extinction

Neurobiology of Learning and Memory, 2005
Both the acquisition and the extinction of memories leave short- and long-term mnemonic traces. Here, we show that in male Wistar rats, the short-term memory for a step-down inhibitory avoidance task (IA) is resistant to extinction, and that its expression does not influence retrieval or extinction of long-term memory.
Martin Cammarota, Lia R M Bevilaqua, Maria Ramirez   +2 more
exaly   +3 more sources

Long Short-Term Memory

Neural Computation, 1997
Learning to store information over extended time intervals by recurrent backpropagation takes a very long time, mostly because of insufficient, decaying error backflow. We briefly review Hochreiter's (1991) analysis of this problem, then address it by introducing a novel, efficient, gradient based method called long short-term memory (LSTM). Truncating
Hochreiter, Sepp, Schmidhuber, Jürgen
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Short-term, intermediate-term, and long-term memories

Behavioural Brain Research, 1993
This paper focuses on the temporal dimension of memory formation and storage. Is the usual two-fold separation between short-term memory (STM) and long-term memory (LTM) sufficient to encompass all the phenomena of memory? The traditional view is that STM grades into LTM.
M R, Rosenzweig, E L, Bennett, P J, Colombo, D W, Lee, P A, Serrano   +4 more
openaire   +2 more sources

Long Short-Term Memory Models

2019
In this chapter, you will learn about recurrent neural networks and long short-term memory models. You will also learn how LSTMs work and how they can be used to detect anomalies and how you can implement anomaly detection using LSTM. You will work through several datasets depicting time series of different types of data such as CPU utilization, taxi ...
Suman Kalyan Adari, Sridhar Alla
openaire   +1 more source