A Hybrid ARIMA and Neural Networks Model for PM-10 Pollution Estimation: The Case of Chiang Mai City Moat Area
© 2016 The Authors. Most of time series model are usually investigated and implemented by ARIMA and Neural Networks (NNs) model. However, ARIMA model may not be adequate for complex patterned problem while NNs model can well reveal the correlation of nonlinear pattern. Since, over-fitting due to a l...
محفوظ في:
المؤلفون الرئيسيون: | Rati Wongsathan, Isaravuth Seedadan |
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التنسيق: | وقائع المؤتمر |
منشور في: |
2018
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الموضوعات: | |
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84999633655&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55547 |
الوسوم: |
إضافة وسم
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المؤسسة: | Chiang Mai University |
مواد مشابهة
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A Hybrid ARIMA and Neural Networks Model for PM-10 Pollution Estimation: The Case of Chiang Mai City Moat Area
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