A hybrid learning algorithm for Interval Type-2 Fuzzy Neural Networks in time series prediction for the case of air pollution-Reference-Cited by-同舟云学术

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A hybrid learning algorithm for Interval Type-2 Fuzzy Neural Networks in time series prediction for the case of air pollution

Published:2008-05 Issue: Volume: Page:
ISSN:
Container-title:NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society
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Author:

Castro J. R.,Castillo O.,Melin P.,Rodriguez-Diaz A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/4525113/4531194/04531338.pdf?arnumber=4531338

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intelligent multivariable air-quality forecasting system based on feature selection and modified evolving interval type-2 quantum fuzzy neural network;Environmental Pollution;2021-04

2. Knowledge Discovery via SVM Aggregation for Spatio-temporal Air Pollution Analysis;Proceedings of International Conference on Computational Intelligence and Data Engineering;2017-12-21

3. Particle Swarm Optimization of the Fuzzy Integrators for Time Series Prediction Using Ensemble of IT2FNN Architectures;Nature-Inspired Design of Hybrid Intelligent Systems;2016-12-10

4. Type-2 fuzzy hybrid expert system for prediction of tardiness in scheduling of steel continuous casting process;Soft Computing;2012-02-14

5. Hierarchical type-2 neuro-fuzzy BSP model;Information Sciences;2011-08

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