Title :
Neural networks in front-end processing and control
Author :
Lister, J.B. ; Schnurrenberger, H. ; Staeheli, N. ; Stockhammer, N. ; Duperrex, P.A. ; Moret, J.M.
Author_Institution :
Centre de Recherches en Phys. des Plasmas, Ecole Polytech. Federale de Lausanne, Switzerland
fDate :
4/1/1992 12:00:00 AM
Abstract :
The authors illustrate the use of a neural network known as the multilayer perceptron as a method for solving several different tasks, all drawn from the field of tokamak research. The use of the multilayer perceptron as a nonlinear controller in a feedback loop is discussed. An outline is presented of the type of problem which can be usefully addressed by these techniques, even before the large-scale parallel processing hardware under development becomes cheaply available. Some of the difficulties encountered in applying these networks are addressed
Keywords :
computerised control; feedback; fusion reactor theory and design; neural nets; nonlinear control systems; nuclear engineering computing; power system computer control; feedback loop; front-end control; front-end processing; large-scale parallel processing hardware; multilayer perceptron; neural network; nonlinear controller; tokamak research; Artificial intelligence; Artificial neural networks; Biology computing; Hardware; Intelligent networks; Multilayer perceptrons; Neural networks; Process control; Speech analysis; Time series analysis;
Journal_Title :
Nuclear Science, IEEE Transactions on
