Multi-Step API Prediction in Malaysia: Evaluating Recursive NARX and SVM Models
Author:
Affiliation:
1. Universiti Malaysia Sabah,Electronic Engineering (Computer) Program, Faculty of Engineering,Kota Kinabalu,Sabah,Malaysia,88400
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10291172/10291205/10291298.pdf?arnumber=10291298
Reference23 articles.
1. The behavior of Particulate Matter (PM10) Concentrations at Industrial Sites in Malaysia
2. Towards On-Site Implementation of Multi-Step Air Pollutant Index Prediction in Malaysia Industrial Area: Comparing the NARX Neural Network and Support Vector Regression
3. Adaptive time series prediction and recommendation
4. Filling Missing Data Using Interpolation Methods: Study on the Effect of Fitting Distribution
5. Long-term air pollution trend analysis in Malaysia
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