WITHDRAWN: A novel hybrid based on nature-inspired and Stochastic Fractal Search algorithms for optimizing of artificial neural network model in landslide susceptibility. (January 2023)
- Record Type:
- Journal Article
- Title:
- WITHDRAWN: A novel hybrid based on nature-inspired and Stochastic Fractal Search algorithms for optimizing of artificial neural network model in landslide susceptibility. (January 2023)
- Main Title:
- WITHDRAWN: A novel hybrid based on nature-inspired and Stochastic Fractal Search algorithms for optimizing of artificial neural network model in landslide susceptibility
- Authors:
- Moayedi, Hossein
Ahmadi Dehrashid, Atefeh
Gholizadeh, Mohammad Hossein - Abstract:
- Abstract : This article has been withdrawn: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy ). This article has been withdrawn at the request of the Editor-in-Chief and publisher. The Editor-in-Chief regrets that an error in the review procedure occurred, whereby the article was accepted before assignment to a handling editor. The Editor-in-Chief and Publisher wish to apologise for any confusion or inconvenience caused; and we stress that the authors are not at fault in this case.
- Is Part Of:
- Engineering applications of artificial intelligence. Volume 117:Part A(2023)
- Journal:
- Engineering applications of artificial intelligence
- Issue:
- Volume 117:Part A(2023)
- Issue Display:
- Volume 117, Issue 1 (2023)
- Year:
- 2023
- Volume:
- 117
- Issue:
- 1
- Issue Sort Value:
- 2023-0117-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-01
- Subjects:
- Engineering -- Data processing -- Periodicals
Artificial intelligence -- Periodicals
Expert systems (Computer science) -- Periodicals
Ingénierie -- Informatique -- Périodiques
Intelligence artificielle -- Périodiques
Systèmes experts (Informatique) -- Périodiques
Artificial intelligence
Engineering -- Data processing
Expert systems (Computer science)
Periodicals
620.00285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09521976 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.engappai.2022.105457 ↗
- Languages:
- English
- ISSNs:
- 0952-1976
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3755.704500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24675.xml