Modeling of Air Temperature using ANFIS by Wavelet Refined Parameters
作者： Karthika. B. S , , Paresh Chandra Deka
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摘要: The precise modeling of average air temperature is a significant and much essential parameter in frame reference for decision-making agriculture field, drought detection environmental related issues. aim this research to construct an accurate model using hybrid Wavelet-ANFIS techniques. Being cognizant the fact, uncertainty handling capability achieved with ANFIS technique; cognitive approach integrate technique along pre-processed data by Wavelet transformation. Detailing on approach, work utilized Discrete transform under Daubechies mother up 3rd level decomposition. This study extends seven station's meteorological records. following developed model's performance compared single models all stations. obtained results were evaluated correlation coefficient, root mean square error scatter index These confirmed that proposed hybridized Wavelet- has estimable potential terms than alone.
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