Fatigue Characterization of WMA and Modeling Using Artificial Neural Networks

2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century ◽

Characterization of underground cable incipient behavior using time-frequency multi-resolution analysis and artificial neural networks

10.1109/pes.2008.4596681 ◽

2008 ◽

Cited By ~ 6

Author(s):

Karen L. Butler-Purry ◽

J. Cardoso

Keyword(s):

Neural Networks ◽

Time Frequency ◽

Underground Cable ◽

Multi Resolution Analysis ◽

Resolution Analysis ◽

Detection and Characterization of Buried Macroscopic Cracks Inside Dielectric Materials by Microwave Techniques and Artificial Neural Networks

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2008.926396 ◽

2008 ◽

Vol 57 (12) ◽

pp. 2819-2826 ◽

Cited By ~ 7

Author(s):

M. Maazi ◽

O. Benzaim ◽

D. Glay ◽

T. Lasri

Keyword(s):

Neural Networks ◽

Dielectric Materials ◽

Artificial Neural ◽

Microwave Techniques

Characterization of Mexican coffee according to mineral contents by means of multilayer perceptrons artificial neural networks

Journal of Food Composition and Analysis ◽

10.1016/j.jfca.2014.02.003 ◽

2014 ◽

Vol 34 (1) ◽

pp. 7-11 ◽

Cited By ~ 16

Author(s):

Roberto Muñiz-Valencia ◽

José M. Jurado ◽

Silvia G. Ceballos-Magaña ◽

Ángela Alcázar ◽

Julio Hernández-Díaz

Keyword(s):

Neural Networks ◽

Multilayer Perceptrons ◽

Mineral Contents ◽

Development of an inverse approach for the characterization of in-vivo optical properties of human skin based on artificial neural networks (Conference Presentation)

Optical Modeling and Performance Predictions X ◽

10.1117/12.2320814 ◽

2018 ◽

Author(s):

Alexander Doronin ◽

Holly Rushmeier ◽

Alexander Bykov ◽

Igor Meglinski

Keyword(s):

Neural Networks ◽

Optical Properties ◽

Human Skin ◽

Inverse Approach ◽

2009 International Association of Computer Science and Information Technology - Spring Conference ◽

Characterization of Internal Learning Parameters in Artificial Neural Networks

10.1109/iacsit-sc.2009.92 ◽

2009 ◽

Author(s):

Engr. Raheela Mustafa

Keyword(s):

Neural Networks ◽

The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems ◽

Precise characterization of memristive systems by cooperative artificial neural networks

10.1109/scis-isis.2012.6505343 ◽

2012 ◽

Author(s):

Josef Dobes ◽

Ladislav Pospisil ◽

Abhimanyu Yadav

Keyword(s):

Neural Networks ◽

Precise Characterization ◽

Memristive Systems ◽

Applications of artificial neural networks in three agro-environmental systems: microalgae production, nutritional characterization of soils and meteorological variables management

10.35376/10324/39419 ◽

2019 ◽

Author(s):

Blas Manuel Franco Ortellado

Keyword(s):

Neural Networks ◽

Meteorological Variables ◽

Environmental Systems ◽

Quality assessment and artificial neural networks modeling for characterization of chemical and physical parameters of potable water

Food and Chemical Toxicology ◽

10.1016/j.fct.2018.04.036 ◽

2018 ◽

Vol 118 ◽

pp. 212-219 ◽

Cited By ~ 16

Author(s):

Marjan Salari ◽

Esmaeel Salami Shahid ◽

Seied Hosein Afzali ◽

Majid Ehteshami ◽

Gea Oliveri Conti ◽

...

Keyword(s):

Neural Networks ◽

Quality Assessment ◽

Potable Water ◽

Physical Parameters ◽

Performance characterization of artificial neural networks for contact tracking

Proceedings of OCEANS '93 ◽

10.1109/oceans.1993.326104 ◽

2002 ◽

Cited By ~ 1

Author(s):

D.J. Ferkinhoff ◽

C.T. Nguyen ◽

S.E. Hammel ◽

K.F. Gong

Keyword(s):

Neural Networks ◽

Performance Characterization ◽

Contact Tracking ◽

Lamb Wave Characterization of Crack Depth in Aluminum Plates using Artificial Neural Networks

2018 IEEE Far East NDT New Technology & Application Forum (FENDT) ◽

10.1109/fendt.2018.8681957 ◽

2018 ◽

Author(s):

Bo Feng ◽

Artur Lopes Ribeiro ◽

Helena Geirinhas Ramos

Keyword(s):

Neural Networks ◽

Lamb Wave ◽

Crack Depth ◽

Artificial Neural ◽

Aluminum Plates