Forecasting tourism demand by extracting fuzzy Takagi–Sugeno rules from trained SVMs-Reference-Cited by-同舟云学术

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Forecasting tourism demand by extracting fuzzy Takagi–Sugeno rules from trained SVMs

Published:2016-01 Issue:1 Volume:1 Page:30-42
ISSN:2468-2322
Container-title:CAAI Transactions on Intelligence Technology
language:en
Short-container-title:CAAI Transactions on Intelligence Technology

Author:

Xu Xin,Law Rob,Chen Wei,Tang Lin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems

Reference68 articles.

1. Hierarchical forecasts for Australian domestic tourism

2. Modelling and forecasting Australian domestic tourism

3. Time Series Forecasting Techniques: Short‐term Planning in Tourism

4. Tourism demand forecasting based on a neuro-fuzzy model;Atsalakis,2014

5. Benchmarking state-of-the-art classification algorithms for credit scoring

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