Ensemble neural networks with input optimization for flood forecasting
Machine learning model has been widely used to provide flood forecasting including the ensemble model. This paper proposed an ensemble of neural networks for long-term flood forecasting that combine the output of backpropagation neural network (BPNN) and extreme learning machine (ELM). The proposed...
| Main Authors: | Mohd Khairudin, Nazli, Mustapha, Norwati, Mohd Aris, Teh Noranis, Zolkepli, Maslina |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2024
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/113840/ http://psasir.upm.edu.my/id/eprint/113840/1/113840.pdf |
Similar Items
Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024)
by: Mohd Khairudin, Nazli, et al.
Published: (2024)
Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024)
by: Mohd Khairudin, Nazli, et al.
Published: (2024)
In-depth review on machine learning models for long-term flood forecasting
by: Khairudin, Nazli Mohd, et al.
Published: (2022)
by: Khairudin, Nazli Mohd, et al.
Published: (2022)
Integration of CNN and LSTM networks for behavior feature recognition: an analysis
by: Aris, Teh Noranis Mohd, et al.
Published: (2024)
by: Aris, Teh Noranis Mohd, et al.
Published: (2024)
Improving brain tumor segmentation in MRI images through enhanced convolutional neural networks
by: Ayomide, Kabirat Sulaiman, et al.
Published: (2023)
by: Ayomide, Kabirat Sulaiman, et al.
Published: (2023)
Wavelet transform and neural network model for streamflow forecasting
by: Malekpour Heydari, Salimeh, et al.
Published: (2022)
by: Malekpour Heydari, Salimeh, et al.
Published: (2022)
Fuzzy AHP in a knowledge-based framework for early flood warning
by: Mohd Aris, Teh Noranis, et al.
Published: (2019)
by: Mohd Aris, Teh Noranis, et al.
Published: (2019)
Data-driven forecasting and modeling of runoff flow to reduce flood risk using a novel hybrid wavelet-neural network based on feature extraction
by: Malekpour Heydari, Salimeh, et al.
Published: (2021)
by: Malekpour Heydari, Salimeh, et al.
Published: (2021)
Neural network models with different input: An application on stock market forecasting
by: Ang, A., et al.
Published: (2025)
by: Ang, A., et al.
Published: (2025)
Color QR code recognition utilizing neural network and fuzzy logic techniques
by: Badawi, Bakri, et al.
Published: (2017)
by: Badawi, Bakri, et al.
Published: (2017)
Rainfall intensity forecast using ensemble artificial neural network and data fusion for tropical climate
by: Noor Zuraidin, Mohd Safar, et al.
Published: (2020)
by: Noor Zuraidin, Mohd Safar, et al.
Published: (2020)
Rainfall intensity forecast using ensemble
artificial neural network and data fusion
for tropical climate
by: Mohd Safar, Noor Zuraidin, et al.
Published: (2020)
by: Mohd Safar, Noor Zuraidin, et al.
Published: (2020)
Object-oriented online course recommendation systems based on deep neural networks
by: Luo, Hao, et al.
Published: (2024)
by: Luo, Hao, et al.
Published: (2024)
Object-oriented online course recommendation systems based on deep neural networks
by: Husin, Nor Azura, et al.
Published: (2024)
by: Husin, Nor Azura, et al.
Published: (2024)
Fuzzy AHP and TOPSIS in cross domain collaboration Recommendation with fuzzy visualization representation
by: Zolkepli, Maslina, et al.
Published: (2020)
by: Zolkepli, Maslina, et al.
Published: (2020)
Flood forecasting using artificial neural network (ANN) in Maran, Pahang
by: Nur Atiyah Dinie, Mat Arifin
Published: (2014)
by: Nur Atiyah Dinie, Mat Arifin
Published: (2014)
Flood forecasting at Jerantut, Pahang by using artificial neural network (ANN)
by: Nurul Izzah, Osman
Published: (2017)
by: Nurul Izzah, Osman
Published: (2017)
A study on flood forecasting at Sungai Lembing using artificial neural network
by: Siti Noor Alina, Mohd Zulkaply
Published: (2014)
by: Siti Noor Alina, Mohd Zulkaply
Published: (2014)
Electricity consumption forecasting using Nonlinear Autoregressive with External (Exogeneous) input neural network
by: K. G., Tay, et al.
Published: (2019)
by: K. G., Tay, et al.
Published: (2019)
An ensemble of neural network and modified grey wolf optimizer for stock prediction
by: Das, Debashish
Published: (2019)
by: Das, Debashish
Published: (2019)
Fuzzy logic model for flood warning expert system integrating multi-agent and ontology
by: Mohd Aris, Teh Noranis, et al.
Published: (2017)
by: Mohd Aris, Teh Noranis, et al.
Published: (2017)
Flood forecasting at Kinabatangan River, Sabah by utilizing artificial neural network (ann)
by: Wan Nurul Hafizah, Abd Razak
Published: (2015)
by: Wan Nurul Hafizah, Abd Razak
Published: (2015)
Heavy Rainfall Forecasting Model Using Artificial Neural Network for Flood Prone Area
by: Junaida, Sulaiman, et al.
Published: (2018)
by: Junaida, Sulaiman, et al.
Published: (2018)
Dynamic force-directed graph with weighted nodes for scholar network visualization
by: Mohd. Aris, Khalid Al-Walid, et al.
Published: (2022)
by: Mohd. Aris, Khalid Al-Walid, et al.
Published: (2022)
An artificial neural network model for flood forecasting in Kemaman, Terengganu / Tuan Asmaa Tuan Resdi
by: Tuan Resdi, Tuan Asmaa
Published: (2016)
by: Tuan Resdi, Tuan Asmaa
Published: (2016)
The Reconstructed Heterogeneity to Enhance Ensemble Neural Network for Large Data
The Reconstructed Heterogeneity to Enhance Ensemble Neural Network for Large Data
Comparison of diverse ensemble neural network for large data classification
The Reconstructed Heterogeneity to Enhance Ensemble Neural Network for Large Data
An Analysis of Large Data Classification using Ensemble Neural Network
The reconstructed heterogeneity to enhance ensemble neural network for large data
A review: accuracy optimization in clustering ensembles using genetic algorithms
by: Ghaemi, Reza, et al.
Published: (2011)
by: Ghaemi, Reza, et al.
Published: (2011)
Assessment and weighting of meteorological ensemble forecast members based on supervised machine learning with application to runoff simulations and flood warning
by: Doycheva, Kristina, et al.
Published: (2017)
by: Doycheva, Kristina, et al.
Published: (2017)
A Comparison On Neural Network Forecasting.
by: Ong, Hong Choon, et al.
Published: (2011)
by: Ong, Hong Choon, et al.
Published: (2011)
Trajectory Ensembles and Machine Learning: From reinforcement learning for rare event sampling to training of neural network ensembles
by: Mair, Jamie
Published: (2023)
by: Mair, Jamie
Published: (2023)
Tensorized neural network for multi-aspect rating-based recommendation
by: Khairudin, Nurkhairizan, et al.
Published: (2019)
by: Khairudin, Nurkhairizan, et al.
Published: (2019)
An Ensemble of Enhanced Fuzzy Min Max Neural Networks for Data Classification
by: Mohammed, Mohammed Falah, et al.
Published: (2017)
by: Mohammed, Mohammed Falah, et al.
Published: (2017)
Ensemble model of Artificial Neural Networks with randomized number of hidden neurons
by: Fatai Adesina, Anifowose, et al.
Published: (2013)
by: Fatai Adesina, Anifowose, et al.
Published: (2013)
Forecasting sunspot numbers with Feedforward Neural Networks (FNN) using 'sunspot neural forecaster' system
by: Reza Ezuan, Samin, et al.
Published: (2011)
by: Reza Ezuan, Samin, et al.
Published: (2011)
Forecasting Exchange Rate Using Neural Networks
by: Raksaseree, Sukhita
Published: (2009)
by: Raksaseree, Sukhita
Published: (2009)
Similar Items
-
Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024) -
Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024) -
In-depth review on machine learning models for long-term flood forecasting
by: Khairudin, Nazli Mohd, et al.
Published: (2022) -
Integration of CNN and LSTM networks for behavior feature recognition: an analysis
by: Aris, Teh Noranis Mohd, et al.
Published: (2024) -
Improving brain tumor segmentation in MRI images through enhanced convolutional neural networks
by: Ayomide, Kabirat Sulaiman, et al.
Published: (2023)