Neural networks for process control in steel manufacturing

Neural networks are particularly suitable for the approximation of non-linear time-variant functions. Due to their learning capabilities, they have proven useful in control applications for complex industrial processes. In collaboration with the Corporate Research and Development Department, the Siemens Industrial and Building Systems Group developed neural network applications for the steel industry, resulting in a more economic use of resources and an improvement of productivity. At this time Siemens has installed more than 100 neural nets world wide at various plants