Application of rough sets and artificial neural network in core enterprise performance prediction

A predication model of core enterprise performance was proposed based on rough sets and artificial neural network from knowledge discovery and data mining perspective at first. Then, the calculation and analysis process of the model were given and discussed. The performance decision-making table and discernable matrix were designed, and the artificial neural network and back propagation algorithm (BP network) were put forward. Finally, the model was applied into a practical prediction example study. After the balanced scorecard index system was reduced and the reduction index was input to the artificial neural network for intelligent training, the predicted sample was input to the trained network, the prediction value of the core enterprise performance was gained. The prediction result is consistent with the actual result.