NDLI: A Bayesian Dynamic Forecast Model Based on Neural Network

Content Provider	IEEE Xplore Digital Library
Author	Chaohong Song Qiang Luo Feng Shi
Copyright Year	2008
Description	Author affiliation: Dept. of Inf. & Comput. Sci., Huazhong Agric. Univ., Wuhan (Chaohong Song; Feng Shi) \|\| State Key Lab. of Water Resources & Hydropower Eng. Sci., Wuhan Univ., Wuhan (Qiang Luo)
Abstract	A neural network-based Bayesian dynamic forecasting model is provided in this paper. Compared with the traditional Bayesian forecasting model, the given model can also has the virtues such as it does not need the placidity suppose which is necessary in the traditional time series forecast method and it can obtain more accurate estimate even with few datum depended on the subjective priori information. In additional, the given model can also improve forecast precision for unexpected events by takes the prediction of neural network as specialistpsilas information. At last, the given model is used to forecast water supply of Shenzhen. Case study showed that the given model could enhance the forecast precision. The forecasting result is much better than that of the forecast of grey and neural network.
Starting Page	130
Ending Page	132
File Size	221396
Page Count	3
File Format	PDF
ISBN	9780769535050
DOI	10.1109/IITA.Workshops.2008.57
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Intelligent networks Bayesian methods Neural networks Laboratories Hydroelectric power generation Predictive models Technology forecasting Information technology Water resources
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in