Temperature prediction in electric arc furnace with neural network tree

摘要: This paper presents a neural network tree regression system with dynamic optimization of input variable transformations and post-training optimization. The decision consists MLP networks, which optimize the split points at leaf level predict final outputs. is designed for problems big complex datasets. It was applied to problem steel temperature prediction in electric arc furnace order decrease process duration one steelworks.