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Paper

A Computational Intelligent Analysis Scheme for Optimal Engine Behavior by Using Artificial Neural Network Learning Models and Harris Hawk Optimization

by Independent / Community 0038a6fc7e9c696b7d826b215a41ddc3eb2bb644

Free2AITools Nexus Index

61.0

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 64

P: Popularity 40

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

Application of computational intelligence methods in data analysis and optimization problems can allow feasible and optimal solutions of complicated engineering problems. This study demonstrates an intelligent analysis scheme for determination of optimal operating condition of an internal combustion engine. For this purpose, an artificial neural network learning model is used to represent engine behavior based on engine data, and a metaheuristic optimization method is implemented to figure ou...

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Semantic Scholar 2 Citations

Paper Information Summary
Entity Passport
Registry ID	0038a6fc7e9c696b7d826b215a41ddc3eb2bb644
License	ArXiv
Provider	semantic_scholar

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Cite this paper

Academic & Research Attribution

BibTeX

@misc{0038a6fc7e9c696b7d826b215a41ddc3eb2bb644,
  author = {Unknown},
  title = {A Computational Intelligent Analysis Scheme for Optimal Engine Behavior by Using Artificial Neural Network Learning Models and Harris Hawk Optimization Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/0038a6fc7e9c696b7d826b215a41ddc3eb2bb644}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). A Computational Intelligent Analysis Scheme for Optimal Engine Behavior by Using Artificial Neural Network Learning Models and Harris Hawk Optimization [Paper]. Free2AITools. https://api.semanticscholar.org/0038a6fc7e9c696b7d826b215a41ddc3eb2bb644

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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) 64

Popularity (P) 40

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for A Computational Intelligent Analysis Scheme for Optimal Engine Behavior by Using Artificial Neural Network Learning Models and Harris Hawk Optimization: Authority (A:64), Popularity (P:40), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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📝 Executive Summary

"Application of computational intelligence methods in data analysis and optimization problems can allow feasible and optimal solutions of complicated engineering problems. This study demonstrates an intelligent analysis scheme for determination of optimal operating condition of an internal combustion engine. For this purpose, an artificial neural network learning model is used to represent engine behavior based on engine data, and a metaheuristic optimization method is implemented to figure ou..."

❝ Cite Node

@article{Unknown2026A,
  title={A Computational Intelligent Analysis Scheme for Optimal Engine Behavior by Using Artificial Neural Network Learning Models and Harris Hawk Optimization},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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📊 Research Signals

📈2CitationsSemantic Scholar

🏛️64AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

🗂️infrastructure opsField

📦Data Source: semantic_scholar

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🆔 Identity & Source

source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
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downloads: 0
stars: null
forks: null
citations: 2

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