Prediction of Mechanical Properties of Cotton Fibers by a BP Neural Network Model Optimized by Genetic Algorithm-Reference-Cited by-同舟云学术

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Prediction of Mechanical Properties of Cotton Fibers by a BP Neural Network Model Optimized by Genetic Algorithm

Published:2024-08-09 Issue:1 Volume:21 Page:
ISSN:1544-0478
Container-title:Journal of Natural Fibers
language:en
Short-container-title:Journal of Natural Fibers

Author:

Wang Junyang¹,Zhang Limin¹,Liu Xiang¹,Zhang Jinchan¹,Wang Wanxin¹,Xu Hong¹

Affiliation:

1. College of Textile and Clothing, Xinjiang University, Urumqi, Xinjiang, China

Funder

the PhD Research Startup Foundation of Xinjiang University

the National Natural Science Foundation of China

The Program of Tianchi Talent of Xinjiang Uygur Autonomous Region

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15440478.2024.2389161

Reference24 articles.

1. A New Approach to the Structure-Properties Relationships Determination for Porous Filled Reinforced Materials

2. Using Genetic Algorithm and Particle Swarm Optimization BP Neural Network Algorithm to Improve Marine Oil Spill Prediction

3. An optimizing BP neural network algorithm based on genetic algorithm

4. Predictions of the Mechanical Performance of Leaf Fiber Thermoplastic Composites by FEA

5. Regional logistics demand forecasting: a BP neural network approach

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