Abstract
The paper shows a new method for improvement the neural network training. Based on the drawings programs this method allows in advance determination of weight and bias of the neural network. This is very useful for the neural network design, selection and optimization and the time reduce of the neural network training. The method described is based on graphical representation of the input domain of data and the vector representation of the decision surfaces.
Cuvinte cheie
neural network
graphic representation and vector
network design
back propagation algorithm.