NDLI: Artificial neural network weights optimization based on social-based algorithm to realize sediment over the river

Content Provider	Springer Nature Link
Author	Ramezani, Fatemeh Nikoo, Mehdi Nikoo, Mohammad
Copyright Year	2014
Abstract	Predictions of sediment load are required in a wide spectrum of problems such as design of the dead volume of a dam, sediment transport in the river, design of stable channels, and dredging needs. Researchers have used the regression between sediment concentration and water discharge. Such relationships are obtained through the application of regression analysis in many studies. Unfortunately, in the classical regression approach to determine sediment concentration–water discharge relationships, internal uncertainties are not taken explicitly into consideration. Therefore, researchers look for non-linear methods to estimate sediment load such as artificial neural network (ANN) methods to solve non-linear problems. The main purpose of this paper is to optimize the ANN connection weights with novel social-based algorithm (SBA) to realize the sediment in Maroon river. The SBA tries to capture several people in different types of countries. They try to reach high levels. The approach illustrated feed-forward neural network optimization for sediment estimation of four Maroon river stations in Iran, which was called FF-SBA. Three inputs were presented in each station: length of river, discharge and debit. Sediment parameter on the same station is measured as the output parameter. Results of optimization algorithms such as the genetic algorithm, particle swarm optimization and imperialist competitive algorithm were compared with the SBA results, and it was found that the FF-SBA model exhibited more capability, flexibility, and accuracy in sediment training, testing, and forecasting steps for the Maroon river in Iran.
Starting Page	375
Ending Page	387
Page Count	13
File Format	PDF
ISSN	14327643
Journal	Soft Computing
Volume Number	19
Issue Number	2
e-ISSN	14337479
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-04-10
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Maroon river Sediment Length of river Social-based algorithm (SBA) Feed-forward back-propagation algorithm Computational Intelligence Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Software Geometry and Topology

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

Hybrid back-propagation training with evolutionary strategies

Robust classifier using distance-based representation with square weights

The novel aggregation function-based neuron models in complex domain

A destructive evolutionary algorithm process

Simplified scoring methods for HMM-based speech recognition

Robust digital image watermarking based on fuzzy inference system and back propagation neural networks using DCT

The raven roosting optimisation algorithm

Subminimal negation

Memetic search in artificial bee colony algorithm

Artificial neural network weights optimization based on social-based algorithm to realize sediment over the river

Similar Documents

Hybrid back-propagation training with evolutionary strategies

Robust classifier using distance-based representation with square weights

The novel aggregation function-based neuron models in complex domain

A destructive evolutionary algorithm process

Simplified scoring methods for HMM-based speech recognition

Robust digital image watermarking based on fuzzy inference system and back propagation neural networks using DCT

The raven roosting optimisation algorithm

Subminimal negation

Memetic search in artificial bee colony algorithm

Artificial neural network weights optimization based on social-based algorithm to realize sediment over the river