计算机应用与软件2013，Vol.30Issue(5)：118-121,4.DOI:10.3969/j.issn.1000-386x.2013.05.034
基于Vague集BP网的应急救援物资需求模式识别
DEMAND PATTERN IDENTIFICATION FOR EMERGENCY RESCUE MATERIALS USING VAGUE SET-BASED BP NEURAL NETWORK
摘要
Abstract
To deal with the uncertain information,especially the unknown degree information processing in demand pattern identification for emergency rescue materials,we introduce Vague set into conventional BP neural network.We study the approach of transferring Vague set information to Fuzzy set information,give a series of criteria for transferring the Vague values to Fuzzy values.Based on these,we present the method of determining the fuzzy membership function,design the topology structure of Vague set-based BP (VBP) neural network (VBPNN) with four-layer multiple outputs,and give the specific implementation steps of VBPNN.The experiment shows,compared with conventional BP neural network and the VBPNN based on conventional fuzzification formula,using VBPNN proposed in the paper has higher test precision.关键词
Vague集/BP网/模式识别/救援物资Key words
Vague set / BP neural network/ Pattern identification/ Rescue materials分类
信息技术与安全科学引用本文复制引用
常春光,贾兆楠,刘亚臣,孔凡文..基于Vague集BP网的应急救援物资需求模式识别[J].计算机应用与软件,2013,30(5):118-121,4.基金项目
教育部人文社会科学研究一般项目(09YJA630102) （09YJA630102）
辽宁省高等学校优秀人才支持计划项目(WJQ2011011) （WJQ2011011）
国家安全生产监督管理总局项目(10-022) （10-022）
辽宁省自然科学基金项目(201202181) （201202181）
