Results 1 to 10 of about 361,562 (204)
Connector based short time series prediction [PDF]
Scientific ReportsThe limited nature of short series presents difficulties for classical prediction models, as each may only contain partial information about the underlying pattern. A straightforward solution would be to concatenate these short series into longer ones in
Wenjuan Gao +3 more
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Fuzzy inference-based LSTM for long-term time series prediction [PDF]
Scientific Reports, 2023 Long short-term memory (LSTM) based time series forecasting methods suffer from multiple limitations, such as accumulated error, diminishing temporal correlation, and lacking interpretability, which compromises the prediction performance.
Weina Wang +2 more
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Prediction for discrete time series [PDF]
Probability Theory and Related Fields, 2004 Let $\{X_n\}$ be a stationary and ergodic time series taking values from a finite or countably infinite set ${\cal X}$. Assume that the distribution of the process is otherwise unknown. We propose a sequence of stopping times $ _n$ along which we will be able to estimate the conditional probability $P(X_{ _n+1}=x|X_0,...,X_{ _n})$ from data segment $
Gusztáv Morvai, Benjamin Weiss
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Time series prediction using artificial neural networks
Ciencias Marinas, 2002 In this work, artificial neural network (ANN) algorithms were used to predict time series of the oceanographic variables Southern Oscilation Index (SOI) and sea surface temperature anomaly (SSTA).
MA Pérez-Chavarría +2 more
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Chaotic time series. Part II. System Identification and Prediction [PDF]
Modeling, Identification and Control, 1994 This paper is the second in a series of two, and describes the current state of the art in modeling and prediction of chaotic time series. Sample data from deterministic non-linear systems may look stochastic when analysed with linear methods.
Bjørn Lillekjendlie +2 more
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Misspecified prediction for time series [PDF]
Journal of Forecasting, 2001 AbstractLet {Xt} be a stationary process with spectral density g(λ).It is often that the true structure g(λ) is not completely specified. This paper discusses the problem of misspecified prediction when a conjectured spectral density fθ(λ), θ∈Θ, is fitted to g(λ).
In‐Bong Choi, Masanobu Taniguchi
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Hydrological time series prediction based on IWOA-ALSTM [PDF]
Scientific ReportsThe prediction of hydrological time series is of great significance for developing flood and drought prevention approaches and is an important component in research on smart water resources.
Xuejie Zhang +4 more
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Deterministic reservoir computing for chaotic time series prediction [PDF]
Scientific ReportsReservoir Computing was shown in recent years to be useful as efficient to learn networks in the field of time series tasks. Their randomized initialization, a computational benefit, results in drawbacks in theoretical analysis of large random graphs ...
Johannes Viehweg +2 more
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Chaotic Time Series Prediction Using Rough-Neural Networks [PDF]
Mathematics Interdisciplinary Research, 2023 Artificial neural networks with amazing properties, such as universal approximation, have been utilized to approximate the nonlinear processes in many fields of applied sciences.
Ghasem Ahmadi, Mohammad Dehghandar
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Conformal Prediction for Time Series
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 We develop a general framework for constructing distribution-free prediction intervals for time series. Theoretically, we establish explicit bounds on conditional and marginal coverage gaps of estimated prediction intervals, which asymptotically converge to zero under additional assumptions.
Chen Xu, Yao Xie
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