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The methodology and examples of utilising neural networks for assisting, controlling and designing technological processes is presented in the paper. Examples concern the continuous melting, casting and rolling of aluminium and alloy rod intended for drawing for electrical wires. Neural networks allow to build dependencies between the performance parameter set, chemical composition of the processed material, and product properties. These functions are used for the process control and for determining the optimal work point of the technological line. The initial data constitute the analytical results of the metal chemical composition and process data collected by the specially built system of canvassing realisation parameters of all unit processes. The effectiveness and efficiency of the system was assessed.