Results 141 to 150 of about 1,758,719 (322)
Minimum description length neural networks for time series prediction [PDF]
Michael Small, Chi K. Tse
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Optimizing quantum noise-induced reservoir computing for nonlinear and chaotic time series prediction. [PDF]
Fry D+4 more
europepmc +1 more source
As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Comorbid depression is prevalent in adults with IA, affecting 15% to 39% of people. Although pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox+3 more
wiley +1 more source
TIME-SERIES PREDICTION SYSTEM AND AROP MODEL IN TRANSPORTATION DEMAND ANALYSIS
Masafumi Tsutsumi, Takeshi Chishaki
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This study addresses the challenge of predicting the airtightness of stratospheric airship envelopes, a critical factor influencing flight performance. Traditional ground-based airtightness tests often rely on limited resources and empirical formulas. To
Yitong Bi+4 more
doaj +1 more source
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
Pressure Prediction in a Plant Generating Chloride by Time Series Analysis
Takeshi Iwasa+4 more
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Neural Network Adaptive Control With Long Short‐Term Memory
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
Human pol II promoter prediction: time series descriptors and machine learning [PDF]
R. Gangal
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