Product sales prediction method and system, computer equipment and storage medium

• Main Authors: LI CHENG, SHI JIAMING, YU XIU, CHEN SHANXIANG, SUN QIAN
• Format: Patent
• Language: Chinese; English
• Published: 24.03.2020
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a product sales prediction method and system, computer equipment and a storage medium. The method comprises the steps of optimizing a BP neural network by utilizing a genetic algorithm; taking historical data of product sales as a training sample, and training the optimized BP neural network; and utilizing the trained BP neural network to predict product sales. The system comprises a neural network optimization module, a neural network training module and a prediction module. Computer equipment and a storage medium can realize the process of the method by executing a computer program. According to the method, the weight and the threshold of the BP neural network are optimized and solved by utilizing the global search capability of the genetic algorithm, so that theconvergence precision and the generalization capability of the BP neural network prediction model are improved; and the combination of the two solves the defect that the BP neural network is easy to fall into local optimum du