Study on Marine Propeller Design Using Artificial Neural Networks and Multivariate Analysis-Reference-Cited by-同舟云学术

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Study on Marine Propeller Design Using Artificial Neural Networks and Multivariate Analysis

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 11th International Conference on Computer Science and Network Technology (ICCSNT)
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Author:

Pan Zhi¹,Sun Xin-Lei²,Zhang Ying¹,Li Xue-Bin³,Zhu Xue-Kang¹,Yang Lu-Chun¹

Affiliation:

1. Wuhan 2nd Ship Design and Research Institute,Dept.of Ship general design and research,Wuhan,China

2. Naval Univ. of Engineering,Dept. of Basic Courses,Wuhan,China

3. Wuhan 2nd Ship Design and Research Institute,Dept.of Information research,Wuhan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10334522/10334524/10334601.pdf?arnumber=10334601

Reference46 articles.

1. An early-stage approach to optimise a marine energy system for liquefied natural gas carriers: Part B — Application

2. A multi-level optimization technique based on fuel consumption and energy index in early-stage ship design

3. Development and optimization of dual-mode propellers for renewable energy

4. EFFECT OF GEOMETRIC CONFIGURATIONS ON HYDRODYNAMIC PERFORMANCE ASSESSMENT OF A MARINE PROPELLER

5. A ship propeller design methodology of multi-objective optimization considering fluid–structure interaction

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