A comparative approach to the prediction of open-end yarn breaking strength by regression and artificial neural network models
THS TA404.8.A44 2013
Saved in:
Main Author: | AmirHossein Mahlouji |
---|---|
Format: | text::Thesis |
Language: | English |
Published: |
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Real time end-to-end glass break detection system using LSTM deep recurrent neural network
by: Nyein Naing, Wai Yan, et al.
Published: (2019) -
Regression Analysis for the Adsorption Isotherms of Natural Dyes onto Bamboo Yarn
by: Tengku Khamanur Azma, Tg. Mohd Zamri, et al.
Published: (2017) -
Application of artificial neural networks to predict compressive strength of high strength concrete.
by: Jaafar, Mohd Saleh, et al.
Published: (2011) -
Application of artificial neural networks to predict
compressive strength of high strength concrete
by: Seyed Hakim, Seyed Jamalaldin, et al.
Published: (2011) -
Artificial neural networks for mechanical strength prediction of lightweight mortar
by: Razavi, S.V., et al.
Published: (2011)