DocumentCode
1748873
Title
Neural networks in automated measurement systems: state of the art and new research trends
Author
Postolache, Octavian ; Girão, Pedro ; Pereira, Miguel
Author_Institution
Tech. Univ. of Iasi, Romania
Volume
3
fYear
2001
fDate
2001
Firstpage
2310
Abstract
The application of artificial neural network (ANN) data processing in measuring systems is reviewed. Neural network types better suited for different kind of applications in that domain are briefly described, with identification of the particular characteristics that make each type suitable for each kind of application. Several aspects concerning optimization and the virtual and hardware implementation of ANN are also examined
Keywords
computerised instrumentation; fault diagnosis; learning (artificial intelligence); multilayer perceptrons; radial basis function networks; artificial neural network data processing; automated measurement systems; hardware implementation; research trends; virtual implementation; Application software; Artificial neural networks; Biological neural networks; Electric variables measurement; Intelligent networks; Multi-layer neural network; Neural networks; Neurons; Particle measurements; Software measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-7044-9
Type
conf
DOI
10.1109/IJCNN.2001.938529
Filename
938529
Link To Document