TY - CONF TI - Prospects of real-time ion temperature and rotation profiles based on neural-network charge exchange analysis AB - A back-propagation neural network technique is used at JET to extract plasma parameters like ion temperature, rotation velocities or spectral line intensities from charge exchange (CX) spectra. It is shown that in the case of the C VI CX spectra, neural networks can give a good estimation (better than +-20% accuracy) for the main plasma parameters (Ti, V{sub rot}). Since the neural network approach involves no iterations or initial guesses the speed with which a spectrum is processed is so high (0.2 ms/spectrum) that real time analysis will be achieved in the near future. 4 refs., 8 figs. AU - "Koenig, R W.T." AU - "Von Hellermann, M [Commission of the European Communities, Abingdon (United Kingdom). JET Joint Undertaking]" AU - "Svensson, J [Royal Inst. of Tech., Stockholm (Sweden)]" KW - "70 PLASMA PHYSICS AND FUSION" KW - "NEURAL NETWORKS" KW - "CHARGE EXCHANGE" KW - "PLASMA DIAGNOSTICS" KW - "DATA PROCESSING" KW - "ION TEMPERATURE" KW - "JET TOKAMAK" KW - "LEAST SQUARE FIT" KW - "REAL TIME SYSTEMS" KW - "ROTATING PLASMA" KW - "SPECTRA UNFOLDING" DO - https://doi.org/ UR - https://www.osti.gov/etdeweb/servlets/purl/456171 PB - CY - France PY - 1994 DA - 1994-07-01 LA - English J2 - [] VL - C1 - Commission of the European Communities, Abingdon (United Kingdom). JET Joint Undertaking C2 - C3 - JET-P-94-29; CONF-9406270- C4 - C5 - INIS; OSTI as DE97621358 L3 - Conference: 21. EPS conference on controlled fusion and plasma physics, Montpellier (France), 27 Jun - 1 Jul 1994; Other Information: PBD: Jul 1994; Related Information: Is Part Of Controlled fusion and plasma physics; PB: 240 p. ER -