分布式多维空间传输信息准确融合仿真研究
杨中杰
【期刊名称】《计算机仿真》 【年(卷),期】2017(034)005
【摘要】This research focuses on fusion method of transmit information in distributed multi-dimensional space based on neural network.The research acquired support degree of data transducer in each multi-dimensional space on fuzzy proposition and worked out distance among independent support degree of complex information object,then obtained degree of optimization of data transducer under the fuzzy proposition.Moreover,the research divided the degree of optimization into groups properly according to the feature of measuring complex information of data transducer and processed corresponding data of output.Thus,spatial domain and time domain of transmit information were fused using evidence theory.Experimental resuhs show that the results of complex information fusion obtained by the method have higher precision and reliability.%对分布式多维空间传输信息融合方法的研究,能够有效提高复杂信息调度和聚类分析能力.对分布式多维空间传输数据的准确融合,需要根据数据传感器的测量复杂信息特征,并进行适当分组,完成对传输信息的融合.传统方法通过组建隶属度函数,来获得多维空间数据库提供信息的可信度,但忽略了对数据库中信息进行分组,导致融合效果不理想.提出基于神经网络的分布式多维空间传输信息融合方法.获取各多维空间数据传
分布式多维空间传输信息准确融合仿真研究
