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Neural network approaches to regularization of solution to the problem of temperature field continuation according to point measurement data


A. N. Vasilyev, D. A. Tarkhov

Some approaches to the solution of incorrect problem of temperature field evaluation according to approximately known point measurement data is offered on the basis of neural network methodology. Results of neurocomputing are given. Advantages of neural network approach and some possible generalizations are mentioned.

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