Results 51 to 60 of about 7,083,147 (335)
A new approach to seasonal energy consumption forecasting using temporal convolutional networks
Results in Engineering, 2023 There has been a significant increase in the attention paid to resource management in smart grids, and several energy forecasting models have been published in the literature.
Abdul Khalique Shaikh +4 more
doaj +1 more source
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification
Conference on Empirical Methods in Natural Language Processing, 2015 Document level sentiment classification remains a challenge: encoding the intrinsic relations between sentences in the semantic meaning of a document. To address this, we introduce a neural network model to learn vector-based document representation in a
Duyu Tang, Bing Qin, Ting Liu
semanticscholar +1 more source
Sensors, 2021 In this study, a scheme of remaining useful lifetime (RUL) prognosis from raw acoustic emission (AE) data is presented to predict the concrete structure’s failure before its occurrence, thus possibly prolong its service life and minimizing the risk of ...
Tuan-Khai Nguyen +2 more
doaj +1 more source
Neural Approximators for Variable-Order Fractional Calculus Operators (VO-FC)
IEEE Access, 2022 The paper presents research on the approximation of variable-order fractional operators by recurrent neural networks. The research focuses on two basic variable-order fractional operators, i.e., integrator and differentiator.
Bartosz Puchalski
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A delay-dependent LMI approach to dynamics analysis of discrete-time recurrent neural networks with time-varying delays [PDF]
, 2007 This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2007 Elsevier Ltd.In this Letter, the analysis problem for the existence and stability of periodic solutions is investigated for
Zidong Wang +3 more
core +1 more source
Quaternion Recurrent Neural Networks
CoRR, 2018 ICLR Update - Full ...
Parcollet, Titouan +6 more
openaire +4 more sources
Neural network ensemble operators for time series forecasting [PDF]
, 2014 The combination of forecasts resulting from an ensemble of neural networks has been shown to outperform the use of a single ``best'' network model.
Kourentzes, Nikos +2 more
core +5 more sources
Компютерні системи та інформаційні технології, 2023 The connectionist-metaheuristic approach solved the urgent task of using new approaches to analyze the foreign direct investment and macroeconomic indicators that affect the volume of their attraction to a particular country in the world economy.
Maryna LESHCHENKO +3 more
doaj +1 more source
Haze Prediction Model Using Deep Recurrent Neural Network
Atmosphere, 2021 In recent years, haze pollution is frequent, which seriously affects daily life and production process. The main factors to measure the degree of smoke pollution are the concentrations of PM2.5 and PM10.
Kailin Shang +7 more
semanticscholar +1 more source
Network of Recurrent Neural Networks
CoRR, 2017 Under review as a conference paper at AAAI ...
openaire +3 more sources