Application of Neural Network in National Economic Forecast

Prediction is a common method in data mining. In the prediction method, it can be divided into linear prediction and nonlinear prediction. The multiple linear regression method belongs to the linear regression method, and the neural network algorithm belongs to nonlinear prediction. The neural network algorithm belongs to the computational intelligence algorithm. It depends on the complexity of the system and connects the relations between the internal nodes of the neural network through the weights to process the data information. Based on multiple linear regression and neural network algorithms, this paper proposes a predictive model based on multiple linear regression and neural network, and uses this model to study national economic data. The prediction model proposed in this paper is realized by using the linear prediction result as the input neuron of the neural network. The neural network used in this paper is a radial basis function neural network, hereinafter referred to as RBF neural network.