Prediction Intervals for the Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) via the LUBE Method
- 17 March 2021
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Estimation of prediction interval in ANN-based multi-GCMs downscaling of hydro-climatologic parametersJournal of Hydrology, 2019
- A comparative study of artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) models in distribution system with nondeterministic inputsInternational Journal of Engineering Business Management, 2018
- Wavelet-entropy data pre-processing approach for ANN-based groundwater level modelingJournal of Hydrology, 2015
- Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction IntervalsIEEE Transactions on Neural Networks, 2010
- A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time seriesJournal of Hydrology, 2009
- A neuro-fuzzy computing technique for modeling hydrological time seriesJournal of Hydrology, 2004
- Confidence interval prediction for neural network modelsIEEE Transactions on Neural Networks, 1996
- An Introduction to the BootstrapPublished by Taylor & Francis Ltd ,1994
- A Practical Bayesian Framework for Backpropagation NetworksNeural Computation, 1992