Neural network modeling of the effect of production technological parameterson the thermophysical characteristics of modified composite materials
The article proposes a method for automating the production of modified composite structures by identifying the influence of production technological parameters on the material thermophysical characteristics. The relationship identification of the parameters under study is provided by the neural network formed with the usage of database of thermophysical characteristics obtained as the result of experimental studies and production technological parameters of thermosetting polymers. The proposed neural network modeling technique was tested on the control samples of experimental results. The results of convergence in training samples, validation and testing are presented.