Results 41 to 50 of about 1,758,719 (322)
Chaotic Time-Series Prediction using Intelligent Methods [PDF]
Iranian Journal of Electrical and Electronic Engineering, 2023 Today, it can be said that in every field in which timely information is needed, we can use the applications of time-series prediction. In this paper, among so many chaotic systems, the Mackey-Glass and Loranz are chosen.
M. Nezhadshahbodaghi +3 more
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TIME SERIES PREDICTION BY NEURAL NETS [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2002 Application of non-classical methods in modeling complex systems and forecasting their behavior has become as more as usual for the scientists and professionals.
Mohammad Reza Asgari Oskoei
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Poster: Visual prediction of time series [PDF]
2009 IEEE Symposium on Visual Analytics Science and Technology, 2009 Many well-known time series prediction methods have been used daily by analysts making decisions. To reach a good prediction, we introduce several new visual analysis techniques of smoothing, multi-scaling, and weighted average with the involvement of human expert knowledge. We combine them into a well-fitted method to perform prediction.
Hao, Ming +5 more
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GAN-Based Prediction of Time Series [PDF]
, 2021 The study aims at generating initial and directional insights in the applicability of conditional recurrent generative adversarial nets for the imputation and forecasting of medical time series data. Our experiment with blood pressure series showed that a generative recurrent autoencoder exhibits significant individual learning progress but needs ...
Cord Spreckelsen, Sven Festag
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Long Short-Term Memory Prediction for COVID19 Time Series
Telfor Journal, 2021 Entire world has been dealing with the number of new Coronavirus 2 or COVID-19 cases. The spread of this severe acute respiratory syndrome has produced many concerns worldwide.
M. S. Milivojević, A. Gavrovska
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COVID-19 Time Series Prediction
Procedia Computer Science, 2021 Abstract The Artificial Neural Network (ANN) is a computer technique that uses a mathematical model to represent a simpler form of the biologic neural structure. It is formed by many processing units and its intelligent behavior comes from the iterations between these units.
Oliveira, Leonardo Sestrem de +2 more
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Forecasting time series by means of evolutionary algorithms [PDF]
, 2004 Proceeding of: 8th International Conference in Parallel Problem Solving from Nature - PPSN VIII , Birmingham, UK, September 18-22, 2004.The time series forecast is a very complex problem, consisting in predicting the behaviour of a data series with only ...
C.Z. Janikow +8 more
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Recurrent Neural Networks Applied to GNSS Time Series for Denoising and Prediction [PDF]
, 2019 Global Navigation Satellite Systems (GNSS) are systems that continuously acquire data and provide position time series. Many monitoring applications are based on GNSS data and their efficiency depends on the capability in the time series analysis to ...
Cascarano, Pasquale +5 more
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Fourier Graph Convolution Network for Time Series Prediction
Mathematics, 2023 The spatio-temporal pattern recognition of time series data is critical to developing intelligent transportation systems. Traffic flow data are time series that exhibit patterns of periodicity and volatility.
Lyuchao Liao +3 more
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Predicting the Volatility of Cryptocurrency Time-Series [PDF]
, 2018 Cryptocurrencies have recently gained a lot of interest from investors, central banks and governments worldwide. The lack of any form of political regulation and their market far from being “efficient”, require new forms of regulation in the near future.
Catania, Leopoldo +2 more
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