Application of Neural Networks to Matlab Analyzed Hyperspectral Images for Characterization of Composite Structures

ISSN Print: 2150-8402
ISSN Online: 2150-8410
www.scirp.net/journal/jilsa
E-mail: [email protected]

Citations

"Application of Neural Networks to Matlab Analyzed Hyperspectral Images for Characterization of Composite Structures"
written by Mahmoud Z. Iskandarani,
published by Journal of Intelligent Learning Systems and Applications, Vol.5 No.3, 2013

has been cited by the following article(s):

[1]	Data mining and machine learning approaches on engineering materials—A review
	2016

[2]	Machine learning models for material selection: Framework for predicting flatwise compressive strength using ANN
	2016

[3]	An Approach to Classify Engineering Materials Using Machine Learning Algorithm
	Emerging Research in Computing, Information, Communication and Applications, 2016

[1]	Emerging Research in Computing, Information, Communication and Applications 2018 DOI:10.1007/978-981-10-4741-1_11

[2]	Data mining and machine learning approaches on engineering materials — A review 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2016 DOI:10.1109/RTEICT.2016.7807785

[3]	Machine learning models for material selection: Framework for predicting flatwise compressive strength using ANN 2016 2nd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT), 2016 DOI:10.1109/ICATCCT.2016.7912036