Abstract
The art of weather forecasting is a challenging task of predicting the state of the atmosphere at a future time for a specified location. Climate change and weather prediction is a highly nonlinear phenomenon which is called butterfly effect. The soft computing techniques are now capable of replacing the conventional weather prediction methods. The proposed new hybrid soft computing models are designed by exploiting the positive features of the constituent soft computing techniques and suppressing their disadvantages and also this research work intends to design the hybrid models by making use of favourable properties of Support Vector Machine, Multi-Layer Perceptron and Fuzzy Logic considering the weather of Delhi. The new hybrid soft computing models are used here to forecast the weather at Delhi by training the models using weather data of Delhi.
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Jayasingh, S.K., Mantri, J.K., Pradhan, S. (2021). Weather Prediction Using Hybrid Soft Computing Models. In: Udgata, S.K., Sethi, S., Srirama, S.N. (eds) Intelligent Systems. Lecture Notes in Networks and Systems, vol 185. Springer, Singapore. https://doi.org/10.1007/978-981-33-6081-5_4
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DOI: https://doi.org/10.1007/978-981-33-6081-5_4
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