Neural network with conservative blocks for device designing solutions

The use of the conservative blocks in the neural network ensembles to increase the stability of obtained models in their further training based on experimental data is proposed. The variants of the conservative block connection in terms of functions performance quality and complexity of creation programs are considered. The expediency of the neural network ensembles using and their further development to improve the quality of the design process are described.