Daily Urban Water Demand Forecasting Based on Chaotic Theory and Continuous Deep Belief Neural Network-Reference-Cited by-同舟云学术

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Daily Urban Water Demand Forecasting Based on Chaotic Theory and Continuous Deep Belief Neural Network

Published:2018-09-06 Issue:2 Volume:50 Page:1173-1189
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Xu Yuebing^ORCID,Zhang Jing,Long Zuqiang,Lv Mingyang

Funder

the National Natural Science Foundation of China

the Science and Technology Plan Project of Hunan Province

the Open Fund Project of Hunan Provincial Key Laboratory of Intelligent Information Processing and Application for Hengyang Normal University

the Natural Science Foundation of Hunan Province

the Research Project of the Education Department of Hunan Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/s11063-018-9914-5.pdf

Reference44 articles.

1. Herrera M, Torgo L, Izquierdo J, Pérez-García R (2010) Predictive models for forecasting hourly urban water demand. J Hydrol 387(1–2):141–150. https://doi.org/10.1016/j.jhydrol.2010.04.005

2. Donkor EA, Mazzuchi TA, Soyer R, Roberson JA (2014) Urban water demand forecasting: review of methods and models. J Water Resour Plan Manag 140(2):146–159. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000314

3. Jain A, Kumar Varshney A, Chandra Joshi U (2001) Short-term water demand forecast modelling at IIT Kanpur using artificial neural networks. Water Resour Manag 15(5):299–321. https://doi.org/10.1023/a:1014415503476

4. Jain A, Ormsbee LE (2002) Short-term water demand forecast modeling techniques-conventional methods versus AI. J (Am Water Works Assoc) 94(7):64–72

5. Pulido-Calvo I, Roldán J, López-Luque R, Gutiérrez-Estrada JC (2003) Demand forecasting for irrigation water distribution systems. J Irrig Drain Eng 129(6):422–431. https://doi.org/10.1061/(ASCE)0733-9437(2003)129:6(422)

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