俞克强, 宫宁生, 徐昊骞. 商场客流量中改进BP神经网络的应用[J]. 微电子学与计算机, 2013, 30(2): 65-68.
引用本文: 俞克强, 宫宁生, 徐昊骞. 商场客流量中改进BP神经网络的应用[J]. 微电子学与计算机, 2013, 30(2): 65-68.
YU Ke-qiang, GONG Ning-sheng, XU Hao-qian. Application of Modified BP Neural Network in Marketplace Passenger Volume[J]. Microelectronics & Computer, 2013, 30(2): 65-68.
Citation: YU Ke-qiang, GONG Ning-sheng, XU Hao-qian. Application of Modified BP Neural Network in Marketplace Passenger Volume[J]. Microelectronics & Computer, 2013, 30(2): 65-68.

商场客流量中改进BP神经网络的应用

Application of Modified BP Neural Network in Marketplace Passenger Volume

  • 摘要: 通过对商场客流量中行人的相关特征进行提取以及对获得的相应数据样本进行处理,利用改进的BP神经网络算法,建立了相应的BP网络模型,对客流量中行人出入商场的一些模式进行自动识别,并分析了隐含层神经元个数、学习速率等因素对网络训练的影响.实验表明该模型在实际项目中的应用是可行的.

     

    Abstract: Through the related features of extraction in marketplace passenger volume and the different sample data processing,constructing the BP neural network model for some pattern with automatic recognition aiming at the pedestrians in and out of the market by using the algorithm of modified BP neural network.Other than,a research has been made to show the effect of different hidden layer numbers and learning rate in neural network training.The experiment also shows the application of the model in actual project is feasible.

     

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