Dam water level prediction system utilizing Artificial Neural Network Back Propagation: Case study: Ciliwung watershed, Katulampa Dam-Reference-Cited by-同舟云学术

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Dam water level prediction system utilizing Artificial Neural Network Back Propagation: Case study: Ciliwung watershed, Katulampa Dam

Published:2016-07 Issue: Volume: Page:
ISSN:
Container-title:2016 International Conference on ICT For Smart Society (ICISS)
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Author:

Anindita Azfina Putri,Laksono Pujo,Nugraha I Gusti Bagus Baskara

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7784659/7792845/07792862.pdf?arnumber=7792862

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Review of Construction Automation and Robotics Practices in Indonesian Construction State-Owned Enterprises: Position in Project Life Cycle, Gap to Best Practice and Potential Uses;Architecture, Structures and Construction;2023-08-17

2. Forecasting multi-step-ahead reservoir monthly and daily inflow using machine learning models based on different scenarios;Applied Intelligence;2022-08-26

3. Water-Level Prediction Utilizing Datamining Techniques in Watershed Management;Advances in IT Standards and Standardization Research;2022-06-24

4. A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting;Alexandria Engineering Journal;2022-01

5. Review article: Mapping the adaptation solution space – lessons from Jakarta;Natural Hazards and Earth System Sciences;2021-11-04

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