Microclonal propagation of plant process modeling and optimization of its parameters based on neural network

Abstract

This article describes the development and study of the models of neural networks for the evaluation and prediction of the results of the sterilization stage. These results allow to optimize its parameters and to conduct a required amount of simulation experiment with simultaneous changes of several (including all) parameters