Recursive linear models optimized by bioinspired metaheuristics to streamflow time series prediction
- 1 March 2023
- journal article
- research article
- Published by Wiley in International Transactions in Operational Research
- Vol. 30 (2), 742-773
- https://doi.org/10.1111/itor.12908
Abstract
No abstract availableKeywords
This publication has 55 references indexed in Scilit:
- Prediction of rainfall time series using modular soft computingmethodsEngineering Applications of Artificial Intelligence, 2013
- Forecasting Electricity Demand in Thailand with an Artificial Neural Network ApproachEnergies, 2011
- A review on time series data miningEngineering Applications of Artificial Intelligence, 2010
- Data-driven models for monthly streamflow time series predictionEngineering Applications of Artificial Intelligence, 2010
- Methodology for long-term prediction of time seriesNeurocomputing, 2007
- Learning and optimization using the clonal selection principleIEEE Transactions on Evolutionary Computation, 2002
- A comparison between neural-network forecasting techniques-case study: river flow forecastingIEEE Transactions on Neural Networks, 1999
- Analysis of an adaptive time-series autoregressive moving-average (ARMA) model for short-term load forecastingElectric Power Systems Research, 1995
- Time series forecasting using neural networks vs. Box- Jenkins methodologySIMULATION, 1991
- The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of VarianceJournal of the American Statistical Association, 1937