COMPARATIVE ANALYSIS OF APPROXIMATION METHODS USING REGRESSION RELATIONSHIPS AND NEURAL NETWORKS FOR LINEAR MODELS
Abstract and keywords
Abstract (English):
The paper examines comparative analysis of approximation methods using regression dependencies and neural networks for linear models.

Keywords:
regression analysis, least squares method, neural networks, Python, Keras
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References

1. Vasil'ev, V.P. Analiticheskaya himiya. Sbornik voprosov uprazhneniy i za-dach. / V.P. Vasil'ev, R.P. Morozova, T.D. Orlova; pod red. V.P. Vasil'eva.- 2-e izd., pererab. i dop. - M.: Drofa, 2003. - 320 s

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