CHINESE JOURNAL OF COMPUTATIONAL PHYSICS ›› 1996, Vol. 13 ›› Issue (3): 283-288.

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RECONSTRUCTION OF PROFILE FROM LINE INTEGRAL DATE USING NEURAL NETWORK IN TOKAMAKS

Zhu Sizheng, Zhang Lei   

  1. Institute of Plasma Physics, Academia Sinica, Hefei 230031
  • Received:1995-03-17 Revised:1995-12-26 Online:1996-09-25 Published:1996-09-25

Abstract: Amultilayer feedforward neural network is used to reconstruct spacial distribution from line integral data along survey chords through the plasma in tokamaks. The BFGS quasi-Newton algorithm is employed to accelerate the convergence of standard error backpropagation (BP) greatly.

Key words: line integral data, reconstruction of profile, neural network, BFGS quasi-New ton algorithm

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