hrvatski

Prepoznavanje geometrijskih svojstava prometnih znakova primjenom umjetne neuralne mreže

One of the differences between the artifical neural networks and discrete automata, like digital computers is their ability to learn the relations between input and output symbols without need for an appropriate program. In the paper the model of the system for recognition of traffic signs based on the backpropagation learning procedure has been shown. The conditions which the system must meet in the traffic background, its structure and the way of learning and application have been also determined. The model was verified by the example of learning and recognizing the shapes of the set of traffic signs.

geometrijska svojstva prometnih znakova; umjetne neuralne mreže

nije evidentirano