Asset Details
- Identifier:
- wej12595-fig-0001
- Description:
- Geographical situation of case study. [Colour figure can be viewed at wileyonlinelibrary.com]
- License:
- Rights Managed
- Rights Holder:
- John Wiley & Sons, Inc.
- License Rights Holder:
- © 2021 CIWEM
- Asset Type:
- Image
- Asset Subtype:
- Image Orientation:
- Portrait
- Image Dimensions:
- 1789 x 1903
- Image File Size:
- 2.54 MB
- Creator:
- Mojtaba Poursaeid, Reza Mastouri, Saeid Shabanlou, Mohsen Najarchi
- Credit:
- Poursaeid, M., Mastouri, R., Shabanlou, S., & Najarchi, M. (2021). Modelling qualitative and quantitative parameters of groundwater using a new wavelet conjunction heuristic method: wavelet extreme learning machine versus wavelet neural networks. Water and Environment Journal, 35(1), 67-83..
- Collection:
- Keywords:
- Restrictions:
- Property Release:
- No
- Model Release:
- No
- Purchasable:
- Yes
- Sensitive Materials:
- No
- Article Authors:
- Mojtaba Poursaeid, Reza Mastouri, Saeid Shabanlou, Mohsen Najarchi
- Article Copyright Year:
- 2021
- Publication Title:
- Water and Environment Journal
- Publication Volume:
- 35
- Publication Issue:
- 1
- Publication Date:
- 02/01/2021
- DOI:
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