A Novel Comprehensive Evaluation Method for Estimating the Bank Profile Shape and Dimensions of Stable Channels Using the Maximum Entropy Principle.
artificial intelligence
bank profile shape
big data
channel
data science
entropy
gene expression programming (GEP)
genetic programming
mathematical entropy model
water resources
Journal
Entropy (Basel, Switzerland)
ISSN: 1099-4300
Titre abrégé: Entropy (Basel)
Pays: Switzerland
ID NLM: 101243874
Informations de publication
Date de publication:
26 Oct 2020
26 Oct 2020
Historique:
received:
31
07
2020
revised:
14
10
2020
accepted:
23
10
2020
entrez:
8
12
2020
pubmed:
9
12
2020
medline:
9
12
2020
Statut:
epublish
Résumé
This paper presents an extensive and practical study of the estimation of stable channel bank shape and dimensions using the maximum entropy principle. The transverse slope (St) distribution of threshold channel bank cross-sections satisfies the properties of the probability space. The entropy of St is subject to two constraint conditions, and the principle of maximum entropy must be applied to find the least biased probability distribution. Accordingly, the Lagrange multiplier (
Identifiants
pubmed: 33286986
pii: e22111218
doi: 10.3390/e22111218
pmc: PMC7712950
pii:
doi:
Types de publication
Journal Article
Langues
eng
Références
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pubmed: 23107096
Stat Med. 1998 Apr 30;17(8):857-72
pubmed: 9595616