Author:
Gontar D.A.,Dranitsyna E.V.
Abstract
Abstract
This paper proposes a method for compensating the temperature error in the FOG output signal using neural networks. One of the main advantages of the method lies in possibility for identification of complex dependencies without losing compensation accuracy at the boundaries of the temperature range.
Cited by
1 articles.
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