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New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling paper by Independent / Community
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Paper

New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling

by Independent / Community 006f4cbdc93518a191c3b85a1ec4ddc4aedf3ffc
Free2AITools Nexus Index
71.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 89
P: Popularity 67
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance —

This study presents three new hybrid artificial intelligence optimization models—namely, adaptive neuro-fuzzy inference system (ANFIS) with cultural (ANFIS-CA), bees (ANFIS-BA), and invasive weed optimization (ANFIS-IWO) algorithms—for flood susceptibility mapping (FSM) in the Haraz watershed, Iran. Ten continuous and categorical flood conditioning factors were chosen based on the 201 flood locations, including topographic wetness index (TWI), river density, stream power index (SPI), curvatur...

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Semantic Scholar 223 Citations
Paper Information Summary
Entity Passport
Registry ID 006f4cbdc93518a191c3b85a1ec4ddc4aedf3ffc
License ArXiv
Provider semantic_scholar
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Cite this paper

Academic & Research Attribution

BibTeX 
@misc{006f4cbdc93518a191c3b85a1ec4ddc4aedf3ffc,
  author = {Unknown},
  title = {New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/006f4cbdc93518a191c3b85a1ec4ddc4aedf3ffc}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling [Paper]. Free2AITools. https://api.semanticscholar.org/006f4cbdc93518a191c3b85a1ec4ddc4aedf3ffc

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⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 89
Popularity (P) 67
Recency (R) 100
Quality (Q) 65

💬 Index Insight

FNI V2.0 for New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling: Authority (A:89), Popularity (P:67), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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📝 Executive Summary

"This study presents three new hybrid artificial intelligence optimization models—namely, adaptive neuro-fuzzy inference system (ANFIS) with cultural (ANFIS-CA), bees (ANFIS-BA), and invasive weed optimization (ANFIS-IWO) algorithms—for flood susceptibility mapping (FSM) in the Haraz watershed, Iran. Ten continuous and categorical flood conditioning factors were chosen based on the 201 flood locations, including topographic wetness index (TWI), river density, stream power index (SPI), curvatur..."

❝ Cite Node 

@article{Unknown2026New,
  title={New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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📊 Research Signals

📈223CitationsSemantic Scholar
🏛️89AuthorityFNI pillar
⏱️100RecencyFNI pillar
✅65QualityFNI pillar
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source
semantic_scholar
author
Unknown
license
ArXiv
tags
paper, research, academic

⚙️ Technical Specs

architecture
null
params billions
null
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citations
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