Neural network model of the smelting process of copper-containing raw materials nickels in furnaces Vanyukov

The paper proposed a neural network model of the smelting process of copper-containing raw materials Nickels in furnaces Vanyukov. The complexity of the problem is caused by multifactorial process. Feature of the model lies in the use of neural network based on classifier Kohonen networks and radial basis functions network.