Simulation of Enterprise Network Marketing Situation Prediction Model with Deep Convolution Neural Network Algorithm

Predictive model simulation plays an important role in the situation of enterprise network marketing, but there is the problem of inaccurate predictive model. The traditional genetic algorithm cannot solve the prediction problem in the situation of enterprise network marketing, and the prediction effect is not ideal. Therefore, this paper proposes a simulation of the enterprise network marketing prediction model based on the deep convolution neural network algorithm and analyzes the prediction model. Firstly, the neural network theory is used to locate the influencing factors, and the indicators is divided according to the requirements of predictive model simulation to reduce the interference factors in predictive model simulation. Then, the neural network theory is used to form a prediction model simulation scheme of deep convolution neural network algorithm, and the simulation results of the predictive model is comprehensively analyzed. The MATLAB simulation results show that under certain evaluation criteria, the deep convolution neural network algorithm is superior to the traditional genetic algorithm in terms of prediction model simulation accuracy and prediction model simulation influencing factor time.