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Flood Prediction Using Hybrid ANFIS-ACO Model: A Case Study

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Inventive Computation and Information Technologies

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 336))

Abstract

Growing imperviousness and urbanization have increased peak flow magnitude which results in flood events specifically during extreme conditions. Precise and reliable multi-step ahead flood forecasts are beneficial and crucial for decision makers. Present study proposes adaptive neuro-fuzzy inference system (ANFIS) combined with ant colony optimization (ACO) algorithm which optimize model parameters for predicting flood at Matijuri gauge station of Barak River basin, Assam, India. Potential of hybrid flood forecasting model is compared with standalone ANFIS based on quantitative statistical indices such as coefficient of determination (R2), Mean Absolute Error (MAE) and Root Mean Square Error (RMSE). Analysis of results generated by models indicated that ANFIS-ACO model with RMSE = 0.0231, R2 = 0.96014 and MAE = 0.0185 performed better with more accuracy and reliability compared to standalone ANFIS model. Also, results demonstrated ability of proposed optimization algorithm in improving accurateness of conventional ANFIS for flood prediction in selected study site.

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Author information

Authors and Affiliations

  1. Department of Civil Engineering, MNIT Jaipur, Jaipur, Rajasthan, India

    Ankita Agnihotri & Manoj Kumar Diwakar

  2. Department of Civil Engineering, NIT Silchar, Silchar, Assam, India

    Abinash Sahoo

Authors
  1. Ankita Agnihotri
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  2. Abinash Sahoo
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  3. Manoj Kumar Diwakar
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, RVS Technical Campus, Coimbatore, Tamil Nadu, India

    S. Smys

  2. Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  3. Business Administration Department, Gerald Schwartz School of Business, St. Francis Xavier University, Antigonish, NS, Canada

    Ram Palanisamy

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Agnihotri, A., Sahoo, A., Diwakar, M.K. (2022). Flood Prediction Using Hybrid ANFIS-ACO Model: A Case Study. In: Smys, S., Balas, V.E., Palanisamy, R. (eds) Inventive Computation and Information Technologies. Lecture Notes in Networks and Systems, vol 336. Springer, Singapore. https://doi.org/10.1007/978-981-16-6723-7_13

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  • DOI: https://doi.org/10.1007/978-981-16-6723-7_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-6722-0

  • Online ISBN: 978-981-16-6723-7

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