Modeling and optimizing tensile strength and yield point on steel bar by artificial neural network with evolutionary algorithm

The artificial neural network (ANN) with Taguchi-genetic evolutionary algorithm (TGEA) is combined to construct the steel bar model and optimize the factors of steel bar. The TGEA in the ANN is to find the most suitable weight of neuron combination and the optimal combination of influencing factors. In the experiment, the steel bar model is constructed by the TGEA-based ANN, and the TGEA is utilized to optimize all process parameters.