Hybrid Deep Learning Approach for Multi-Step-Ahead Daily Rainfall Prediction Using GCM Simulations

Hybrid Deep Learning Approach for Multi-Step-Ahead Daily Rainfall Prediction Using GCM Simulations

Deep Learning (DL) is an effective technique for dealing with complex systems. This study proposes a hybrid DL approach, a combination of one-dimensional Convolutional Neural Network (Conv1D) and Multi-Layer Perceptron (MLP) (hereinafter referred to as hybrid Conv1D-MLP model), for multi-step-ahead...

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Bibliographic Details
Main Authors: Mohd Imran Khan, Rajib Maity
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning (DL)
multi-layer perceptron (MLP)
hybrid DL models (Conv1D-MLP)
multi-step-ahead rainfall prediction
one-dimensional convolutional neural network (Conv1D)
support vector regression (SVR)
Online Access:https://ieeexplore.ieee.org/document/9036966/

Internet

https://ieeexplore.ieee.org/document/9036966/

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