NDLI: Improvement of an Artificial Neural Network Model using Min-Max Preprocessing for the Prediction of Wave-induced Seabed Liquefaction

Content Provider	IEEE Xplore Digital Library
Author	Deaho Cha Blumenstein, M. Hong Zhang Dong-Sheng Jeng
Copyright Year	2006
Description	Author affiliation: Griffith Univ., Gold Coast (Deaho Cha; Hong Zhang)
Abstract	In the past decade, artificial neural networks (ANNs) have been widely applied to the engineering problems with a complicated system. ANNs are becoming an important alternative option for solving problems in comparison to traditional engineering solutions, which are usually involved in complicated mathematical theories. In this study, we apply an ANN model to the wave-induced seabed liquefaction problem, which is a key issue in the area of coastal and ocean engineering. Furthermore, we adopted an ANN model with preprocessing (MIN-MAX) on difficult training data. This paper demonstrates the capacity of the proposed ANN model using MIN-MAX pre-processing to provide coastal engineers with another effective tool to analyse the stability of seabed sediment.
Starting Page	4577
Ending Page	4581
File Size	462478
Page Count	5
File Format	PDF
ISBN	0780394909
DOI	10.1109/IJCNN.2006.247085
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Predictive models Sea measurements Training data Gold Australia Oceans Data engineering Stress Stability analysis
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

Improvement of an Artificial Neural Network Model using Min- Max Preprocessing for the Prediction of Wave-induced Seabed

Macrocell radio wave propagation prediction using an artificial neural network

Prediction of maximum wave-induced liquefaction in porous seabed using Multi-Artificial Neural Network model (2010)

One-day wave forecasts using buoy data and artificial neural networks

Prediction of Wave-induced Liquefaction using Artificial Neural Network and Wide Genetic Algorithm

Prediction of significant wave height in The Java Sea using Artificial Neural Network

A rainfall prediction model using artificial neural network

Grey Neural Network Method for Disaster Rank Prediction of Typhoon Storm Surge

A comparison of data preprocessing strategies for neural network modeling of oil production prediction

Improvement of an Artificial Neural Network Model using Min-Max Preprocessing for the Prediction of Wave-induced Seabed Liquefaction

Similar Documents

Improvement of an Artificial Neural Network Model using Min- Max Preprocessing for the Prediction of Wave-induced Seabed

Macrocell radio wave propagation prediction using an artificial neural network

Prediction of maximum wave-induced liquefaction in porous seabed using Multi-Artificial Neural Network model (2010)

One-day wave forecasts using buoy data and artificial neural networks

Prediction of Wave-induced Liquefaction using Artificial Neural Network and Wide Genetic Algorithm

Prediction of significant wave height in The Java Sea using Artificial Neural Network

A rainfall prediction model using artificial neural network

Grey Neural Network Method for Disaster Rank Prediction of Typhoon Storm Surge

A comparison of data preprocessing strategies for neural network modeling of oil production prediction

Improvement of an Artificial Neural Network Model using Min-Max Preprocessing for the Prediction of Wave-induced Seabed Liquefaction