The paper open the way to the assisted choose of the optimal neural network. There are shown some important neurons type, transfer functions, weights and biases of neurons, and some complex layers with different type of neurons in a static and dynamic networks. By using the proper virtual LabVIEW instrumentation were established some influences of the network parameters to the number of iterations till canceled the mean square error to the target.

The paper showed the assisted research of some new dynamic behavior parameters and his influences to the dynamic behavior of the industrial robots. The research contents the mathematical model of these new dynamic parameters, assisted theoretical simulation of the new mathematical model after apply the rheological damper and the assisted establish of the influences of the model coefficients to the characteristics parameters. In the assisted experimental