Investigation on Stiffness of Finished Stretch Plain Knitted Fabrics Using Fuzzy Decision Trees and Artificial Neural Networks

Fibers and Polymers ◽

10.1007/s12221-021-9314-8 ◽

2021 ◽

Vol 22 (2) ◽

pp. 550-558

Author(s):

Rania Baghdadi ◽

Hamza Alibi ◽

Faten Fayala ◽

Xianyi Zeng

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Decision Trees ◽

Fuzzy Decision ◽

Knitted Fabrics ◽

Artificial Neural ◽

Fuzzy Decision Trees

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Authentication of Douro DO monovarietal red wines based on anthocyanin profile: Comparison of partial least squares – discriminant analysis, decision trees and artificial neural networks

Food Control ◽

10.1016/j.foodcont.2021.107979 ◽

2021 ◽

Vol 125 ◽

pp. 107979

Author(s):

Fernanda Cosme ◽

Juliana Milheiro ◽

Joana Pires ◽

Fernanda Isabel Guerra-Gomes ◽

Luís Filipe-Ribeiro ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Discriminant Analysis ◽

Least Squares ◽

Decision Trees ◽

Partial Least Squares ◽

Red Wines ◽

Anthocyanin Profile ◽

Artificial Neural

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P-142: Application of artificial neural networks and decision trees to predict weight loss following laparoscopic adjustable gastric banding

Surgery for Obesity and Related Diseases ◽

10.1016/j.soard.2010.03.186 ◽

2010 ◽

Vol 6 (3) ◽

pp. S73

Author(s):

Ali Ardestani ◽

Hamid R. Nemati ◽

Ali Tavakkolizadeh

Keyword(s):

Neural Networks ◽

Weight Loss ◽

Artificial Neural Networks ◽

Gastric Banding ◽

Decision Trees ◽

Laparoscopic Adjustable Gastric Banding ◽

Adjustable Gastric Banding ◽

Predict Weight Loss ◽

Artificial Neural

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Kanbansetting through artificial intelligence: a comparative study of artificial neural networks and decision trees

Integrated Manufacturing Systems ◽

10.1108/09576060010326230 ◽

2000 ◽

Vol 11 (4) ◽

pp. 239-246 ◽

Author(s):

Ina S. Markham ◽

Richard G. Mathieu ◽

Barry A. Wray

Keyword(s):

Artificial Intelligence ◽

Neural Networks ◽

Artificial Neural Networks ◽

Comparative Study ◽

Decision Trees ◽

Artificial Neural

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Woodland Cover Change Assessment Using Decision Trees, Support Vector Machines and Artificial Neural Networks Classification Algorithms

2011 Fourth International Conference on Intelligent Computation Technology and Automation ◽

10.1109/icicta.2011.363 ◽

2011 ◽

Author(s):

Xidong Jiang ◽

Meizhen Lin ◽

Junlei Zhao

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Support Vector Machines ◽

Decision Trees ◽

Support Vector ◽

Classification Algorithms ◽

Change Assessment ◽

Vector Machines ◽

Artificial Neural

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Improving learning accuracy of fuzzy decision trees by hybrid neural networks

IEEE Transactions on Fuzzy Systems ◽

10.1109/91.873583 ◽

2000 ◽

Vol 8 (5) ◽

pp. 601-614 ◽

Author(s):

E.C.C. Tsang ◽

X.Z. Wang ◽

D.S. Yeung

Keyword(s):

Neural Networks ◽

Decision Trees ◽

Fuzzy Decision ◽

Fuzzy Decision Trees ◽

Hybrid Neural Networks

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NEIRONU TĪKLA UN LĒMUMU KOKA SALĪDZINĀJUMS IZPLŪDUŠAS INFORMĀCIJAS APSTRĀDĒ

Environment Technology Resources Proceedings of the International Scientific and Practical Conference ◽

10.17770/etr1999vol1.1873 ◽

1999 ◽

Vol 1 ◽

pp. 206

Author(s):

Ēriks Tipāns

Keyword(s):

Neural Networks ◽

Decision Trees ◽

Fuzzy Decision ◽

Fuzzy Decision Trees

Darba mērķis bija salīdzināt neironu tīkla un lēmumu koka ģenerēšanas algoritmu izplūdušas informācijas apstrādes uzdevumā. Izplūdušas informācijas apstrādei ir izstrādātas vairākas pieejas - gan dažādu arhitektūru neironu tikli, gan arī dažādi lēmumu koka indukcijas algoritmi.Savā darbā es izmantoju daudzslāņu tiešās izplatīšanās neironu tīklu ar kļūdas atpakaļizplatīšanās algoritmu, pielāgojot tīkla ieejas un izejas izplūdušu vērtību attēlošanai saskaņā ar [2]-[H. Ishibuchi, H. Okada, H. Tanaka, Interpolation of Fuzzy If- Then Rules by Neural Networks].Par lēmumu koka indukcijas algoritmu, ar kuru salīdzināt neironu tīkla rezultātus, es izvēlējos [l]-[Yufei Yuan, Michael J. Shaw, Induction of fuzzy decision trees] aprakstīto pieeju.

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Investigation on air permeability of finished stretch plain knitted fabrics. I. Predicting air permeability using artificial neural networks

Fibers and Polymers ◽

10.1007/s12221-016-6800-5 ◽

2016 ◽

Vol 17 (12) ◽

pp. 2105-2115 ◽

Author(s):

Rania Baghdadi ◽

Hamza Alibi ◽

Faten Fayala ◽

Xianyi Zeng

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Air Permeability ◽

Knitted Fabrics ◽

Artificial Neural

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Artificial Neural Networks, Multiple Linear Regression and Decision Trees Applied to Labor Justice

Proceedings of the 5th International Joint Conference on Computational Intelligence ◽

10.5220/0004517504430450 ◽

2013 ◽

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Linear Regression ◽

Multiple Linear Regression ◽

Decision Trees ◽

Artificial Neural

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Classification of anti-HIV compounds using counterpropagation artificial neural networks and decision trees

SAR and QSAR in Environmental Research ◽

10.1080/1062936x.2011.623318 ◽

2011 ◽

Vol 22 (7-8) ◽

pp. 639-660 ◽

Author(s):

M. Jalali-Heravi ◽

A. Mani-Varnosfaderani ◽

P. Eftekhar Jahromi ◽

M. Mohsen Mahmoodi ◽

D. Taherinia

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Decision Trees ◽

Artificial Neural ◽

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Modeling of stage–discharge relationship for Gharraf River, southern Iraq using backpropagation artificial neural networks, M5 decision trees, and Takagi–Sugeno inference system technique: a comparative study

Applied Water Science ◽

10.1007/s13201-014-0258-7 ◽

2014 ◽

Vol 6 (4) ◽

pp. 407-420 ◽

Author(s):

Alaa M. Al-Abadi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Comparative Study ◽

Decision Trees ◽

Inference System ◽

System Technique ◽

Artificial Neural ◽

Takagi Sugeno ◽

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