Abstract Details
| Name: MAHESH CHANDRA MATHPAL Affiliation: Kumaun university, Nainital Conference ID: ASI2018_1118 Title : Study of Solar-terrestrial link by Soft Computing technique Authors and Co-Authors : Mahesh Chandra Mathpal, Seema Pande, Raj Kumar, Bimal Pande Department of Physics, D.S.B Campus Kumaun University Nainital Abstract Type : Poster Abstract Category : Sun and the Solar System Abstract : Solar atmospheric phenomena like sunspot numbers, solar flares (SF), Coronal Mass ejection (CMEs) are directly linked to terrestrial phenomena. Their relationship has been studied by different techniques like statistical methods, soft computing techniques etc. In this work, we have used soft computing artificial neural network techniques to analyse their relationship. We have used solar features as input parameter and geomagnetic indices as target parameter for neural network. We have compared the results of statistical method and neural network techniques from one cycle to another cycle and found that the neural network results are better than statistical results. We have found that this technique provides better results to explain the solar terrestrial link. Therefore, it turns out to be is a more useful technique for prediction of variation in space weather due to solar phenomena. |