Enterprise Production Cycle Prediction Method Based on Big Data
In order to improve the efficiency of enterprise resource planning and the accuracy of production cycle prediction,a network learning model based on density peak clustering is designed.In this learning method,the network parameters are estimated by searching for the density peak,and the parallel process based on MapReduce is used to train the network,so as to improve the network training efficiency and prediction accuracy.In case analysis,the standard deviation and mean absolute dviation of the proposed method reach 2.25×10-4 and 1.78×10-4 respectively.
Internet of thingsbig dataenterprise resource planninggeneration cycle time
NETL
NSTL
万方数据
