Overall, our work carries a significant value not merely in adaptive modeling of deep learning in time series issues, but also in the field of univariate data processing and prediction.doi:10.1007/s00521-021-06212-2Xiaoquan ChuCollage of Information and Electrical Engineering, China Agricultural ...
time-series prediction with Bayesian Hyper Parameter Tuning https://www.mathworks.com/matlabcentral/fileexchange/87137-lstm-time-series-prediction-with-bayesian-optimization Cite As Abolfazl Nejatian (2025). Multivariate and Univariate Time Series Prediction (https://www.mathworks.com/matlabcentral/file...
A framework for benchmarking machine learning methods using linear models for univariate time series prediction Time series prediction has been attracting interest of researchers due to its increasing importance in decision-making activities in many fields of knowled... R Salles,L Assis,G Guedes,.....
Time-series prediction is important in physical and financial domains. Pattern recognition techniques for time-series prediction are based on structural ma... S Singh - 《Computational Intelligence》 被引量: 8发表: 2010年 Toward the development of a conventional time series based web error forecastin...
Performance evaluation of univariate time-series techniques for forecasting monthly rainfall data. J. Water Clim. Change 2022, 13, 4151–4176. [Google Scholar] [CrossRef] Tsui, F. Time Series Prediction Using a Multi-Resolution Dynamic Predictor. Ph.D. Thesis, University of Pittsburgh, Pittsburgh...
Noun1.time series- a series of values of a variable at successive times statistics- a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters ...
In time-series prediction the squared difference between the predicted and the true values is widely used as loss function (Neftci et al., 2019). Hence, the loss function proposed is based on extracting the time instants of both the first spike of the SNN output and the target and computing...
Time series methods allow the estimation of influenza-attributable mortality. The methods often model ... DJ Muscatello,AT Newall,DE Dwyer,... - 《Plos One》 被引量: 22发表: 2013年 Smoothing splines for trend estimation and prediction in time series We consider the use of generalized ...
Approximation and Short-Term Prediction of Bus Dwell Time using AVL Data A significant proportion of bus travel time is contributed by bus dwell time for passenger boarding and alighting. This paper reports an investigation cond... S Rashidi,P Ranjitkar - 《Journal of the Eastern Asia Society ...
Methods of this type consider that the training sets contain labeled instances of normal and abnormal classes and build predictive models to distinguish differences between the two classes, which are then applied to unseen instances for prediction. Opprentice [33] is an ensemble method in which multi...