摘要
综合分析了苏北地区物流需求的经济因素影响,利用BP神经网络算法对物流需求的内部演化规律进行仿真,并使用遗传算法对该过程进行了优化,最终构建了苏北物流需求预测的数学模型。通过1999-2007年的实例分析,验证了所建模型具有较高的运算效率和可信度。最后根据苏北地区的现有优势和现代物流业的发展,提出了苏北地区的物流发展对策。
To build the forecasting model logistics demand of north of Jiangsu province of logistics demand, the paper integrated the factors for and emulated the inner transfer discipline of logistics demand based on BPNN, which was optimized by Genetic Algorithm. The paper validates that the built model has a higher operation efficiency and reliability through analyzing examples Years of between 1999 and 2007. At last, the paper give some measures to develop logistics in north of Jiangsu province, combined with the actuality of owned advantages by the district and the development of modern logistics.
出处
《物流工程与管理》
2009年第5期20-23,共4页
Logistics Engineering and Management
