Performance Evaluation of hybrid ANFIS model for Flood Prediction-Reference-Cited by-同舟云学术

Performance Evaluation of hybrid ANFIS model for Flood Prediction

Published:2022-03-25 Issue: Volume: Page:
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Container-title:2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS)
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Author:

Ghose Dillip Kumar¹,Tanaya Kshirabdhi¹,Sahoo Abinash¹,Kumar Upendra¹

Affiliation:

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9784926/9784957/09785002.pdf?arnumber=9785002

Reference32 articles.

1. Interpretable spatio-temporal attention LSTM model for flood forecasting

2. A Hybrid Model for Real-Time Probabilistic Flood Forecasting Using Elman Neural Network with Heterogeneity of Error Distributions

3. Flood forecasting based on an artificial neural network scheme

4. Estimation of Sediment Load Using Adaptive Neuro-Fuzzy Inference System at Indus River Basin, India;mohanta;Intelligent Data Engineering and Analytics,1177

5. Prediction of Sedimentation in a Watershed Using RNN and SVM

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