Electric arc additive remanufacturing welding parameter-weld bead size forward and inverse neural network prediction model

The invention discloses an electric arc additive remanufacturing welding parameter-weld bead size forward and inverse neural network prediction model, and is suitable for the field of electric arc additive remanufacturing. The model aims at solving the main problems that in the electric arc additive remanufacturing process of current components, the welding technology optimization process is complex, and the forming precision and the forming efficiency are low. A welding parameter-weld bead size forward and inverse neural network prediction model is constructed based on a neural network technology, an initial weight and a threshold value of the prediction model are optimized by adopting a genetic algorithm, and the optimized model is good in grid stability, high in generalization ability and prediction precision and high in prediction accuracy. And the method can be suitable for the electric arc additive remanufacturing production process of components of any size. According to the model, forward accurate pre