摘要
传统的物流企业营销资源整合方法采用粒子群聚类方法,随着资源信息规模的增大,干扰因素增多,资源整合的融合性不好,导致物流企业营销信息更新滞后.为此,提出一种基于云计算环境下资源信息指向性特征调度的物流企业营销资源整合方法.进行物流企业营销相关信息的时间序列分析,采用自适应级联抗干扰滤波方法对资源整合数据的干扰项进行滤波处理.对输出的资源信息进行关联语义信息特征提取,在云计算环境下进行资源信息的指向性融合,实现资源整合模型改进,通过资源优化整合,进而指导物流企业的营销策略的创新.仿真实验分析表明,该方法对资源整合的融合度较高,提高了信息共享和传输调度能力,促进物流企业营销方式的创新发展.
Traditional logistics enterprise marketing resources integration method uses particle swarm clustering method. But with the increase of information resources,and the interference factors, fusion of the resource integration is unpleasant, resulting in delays in logistics enter- prise marketing information updates. A logistics enterprise marketing resources integration method based on the characteristic of resource information in the cloud computing environment is thus proposed. The time series analysis of marketing related information is carried out, and the interference terms of resource integration data are filtered by the adaptive filtering method. Semantic correlation information feature extraction is conducted on the output of information resources, in the cloud computing environment of information resources point of fusion, to re- alize the resource integration model improve, through resource integration and optimization, and to guide the innovation of logistics enterprise marketing strategy. Simulation experiment shows that this method has a high degree of integration of resources integration, improve the a- bility of information sharing and transmission scheduling, and promote the innovation and development of logistics enterprise marketing methods.
出处
《西安工程大学学报》
CAS
2016年第4期528-533,共6页
Journal of Xi’an Polytechnic University
基金
河南省软科学研究计划项目(152400410504)
关键词
资源整合
物流
营销
云计算
resource integration
logistics
marketing
cloud computing
