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Optimization Enabled Neural Network for the Rainfall Prediction in India

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Advances in Computing and Data Sciences (ICACDS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1614))

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Abstract

Rainfall prediction plays a major role in ensuring the livelihood of many people especially, for the farmers. Heavy and irregular flow of rainfall can cause flood, landslide and much other destruction. To prevent this, rainfall should be predicted in a periodic manner. As a contribution, the proposed Spotted Hyena based nonlinear autoregressive model (SH-NARX) prediction model effectively predicts the rainfall in a yearly, monthly and quarterly manner using the Indian rainfall dataset. The data is collected and trained using the NARX neural network, which is a non linear autoregressive network that is optimized using the spotted hyena optimization for rainfall prediction. The performance of the prediction model is analyzed based on RMSE and PRD that are minimal, highlighting the higher accuracy rates.

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Authors and Affiliations

  1. Department of CSE, Sreyas Institute of Engineering and Technology, Hyderabad, 500068, India

    Ananda R. Kumar Mukkala & S. Sai Satyanarayana Reddy

  2. Department of ECE, Sreyas Institute of Engineering and Technology, Hyderabad, 500068, India

    P. Praveen Raju,  Mounica, Chiranjeevi Oguri & Srinivasu Bhukya

Authors
  1. Ananda R. Kumar Mukkala
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  2. S. Sai Satyanarayana Reddy
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  3. P. Praveen Raju
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  4. Mounica
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  5. Chiranjeevi Oguri
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  6. Srinivasu Bhukya
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Corresponding author

Correspondence to Ananda R. Kumar Mukkala .

Editor information

Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Jaypee University of Engineering and Technology, Guna, India

    Vipin Tyagi

  3. Jaypee University of Information Technology, Waknaghat, India

    P. K. Gupta

  4. Institute of Information Theory and Automation, Prague, Czech Republic

    Jan Flusser

  5. University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

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Mukkala, A.R.K., Reddy, S.S.S., Raju, P.P., Mounica, Oguri, C., Bhukya, S. (2022). Optimization Enabled Neural Network for the Rainfall Prediction in India. In: Singh, M., Tyagi, V., Gupta, P.K., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2022. Communications in Computer and Information Science, vol 1614. Springer, Cham. https://doi.org/10.1007/978-3-031-12641-3_2

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  • DOI: https://doi.org/10.1007/978-3-031-12641-3_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-12640-6

  • Online ISBN: 978-3-031-12641-3

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