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
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;
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7044-9
DOI :
10.1109/IJCNN.2001.938529
