A new dual weights optimization incremental learning algorithm for time series forecasting
Authors:
- 1 May 2019
- journal article
- research article
- Published by Springer Nature in Applied Intelligence
- Vol. 49 (10) , 3668-3693
Abstract
No abstract availableKeywords
This publication has 25 references indexed in Scilit:
- On improving Dynamic Time Warping for pattern matchingMeasurement, 2012
- Cooperative coevolution of Elman recurrent neural networks for chaotic time series predictionNeurocomputing, 2012
- Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithmNeural Computing and Applications, 2011
- A self-learning scheme for residential energy system control and managementNeural Computing and Applications, 2011
- Fuzzy wavelet neural network based on fuzzy clustering and gradient techniques for time series predictionNeural Computing and Applications, 2010
- Batch type local search-based adaptive neuro-fuzzy inference system (ANFIS) with self-feedbacks for time-series predictionNeurocomputing, 2009
- Incremental extreme learning machine with fully complex hidden nodesNeurocomputing, 2007
- Incremental Learning for Robust Visual TrackingInternational Journal of Computer Vision, 2007
- Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden NodesIEEE Transactions on Neural Networks, 2006
- Hybrid decision treeKnowledge-Based Systems, 2002