Karthika. B. S

Work place: National Institute of Technology Karnataka, Surathkal, 575025, India

E-mail: bskarthikgowda@gmail.com


Research Interests: Autonomic Computing, Computing Platform, Mathematics of Computing


Karthika. B. S received the Bachelor Degree in Civil Engineering from V.T.U, Belagavi and M.Tech (Remote sensing and G.I.S) from N.I.T.K. Surathkal. Presently, he is working as an Assistant Professor in the Department of Civil Engineering at J.N.N.C.E.Shivamogga and he is pursuing Ph.D in N.I.T.K. Surathkal. His research interests include Remote Sensing and Soft Computing.

Author Articles
Modeling of Air Temperature using ANFIS by Wavelet Refined Parameters

By Karthika. B. S Paresh Chandra Deka

DOI: https://doi.org/10.5815/ijisa.2016.01.04, Pub. Date: 8 Jan. 2016

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

[...] Read more.
Other Articles