Influence of network neurons number to network training and forecast accuracy

The authors analyze neural network training error dependence on the neurons number. The effect of hard deterioration of training and forecast parameters at some values of neurons number has been found, which can be connected with entry conditions influence, bringing the casual component in the initial configuration of weight factors values of neural network.