Modelling of adhesive joints and predicting their strength with the use of neural networks

The RMS error for the neuron artificial network does not exceed 10% of the average force value and amounts 739 N. This is a very good results for the strength of adhesive joints. To compare, this error for multiple regression is 1413 N, and 1166 N in case of polynomial regression.