Neuro-fuzzy Modelling and Experimental Study of the Physiological Comfort of Green Cotton Fabric Based on Yarn Properties
Author:
Publisher
International Digital Organization for Scientific Information (IDOSI)
Subject
General Engineering
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Prediction the Effect of Tensile and Elongation Properties of Dry and Wet Cotton Fibre on the Fabric Wrinkle Grade Based on Polynomial Type2 Fuzzy Neural Network Modelling;Fibers and Polymers;2023-06
2. Evaluating the Smoothness of the Washed Fabric after Laundry with the Washing Machine Based on a New Type-2 Fuzzy Neural Network;Complexity;2022-09-16
3. Smooth appearance analysis of the finished cotton fabric affected by structural parameters based on Hopfield neural network;The Journal of The Textile Institute;2021-12-29
4. Modeling Renewable Energy Systems by a Self-Evolving Nonlinear Consequent Part Recurrent Type-2 Fuzzy System for Power Prediction;Sustainability;2021-03-17
5. A New Recurrent Radial Basis Function Network-based Model Predictive Control for a Power Plant Boiler Temperature Control;International Journal of Engineering;2021-03
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