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Neural network error correction for solving coupled ordinary differential equations

Conference ·
OSTI ID:5521076
 [1];  [2]; ;  [3]
  1. National Aeronautics and Space Administration, Houston, TX (United States). Lyndon B. Johnson Space Center
  2. Arkansas Univ., Little Rock, AR (United States)
  3. Oak Ridge National Lab., TN (United States)

A neural network is demonstrated to learn errors generated by a numerical algorithm for solving coupled nonlinear differential equations. Comparisons are made for training the neural network using backpropagation and a new method which is found to converge with fewer iterations.

Research Organization:
Oak Ridge National Lab., TN (United States)
Sponsoring Organization:
DOE; USDOE, Washington, DC (United States)
DOE Contract Number:
AC05-84OR21400
OSTI ID:
5521076
Report Number(s):
CONF-9206102-2; ON: DE92007241
Country of Publication:
United States
Language:
English