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面向自行火炮变型设计问题的混合案例推理技术研究
引用本文:羊柳,钱林方,丁晟春,尹强. 面向自行火炮变型设计问题的混合案例推理技术研究[J]. 兵工学报, 2015, 36(11): 2190-2195. DOI: 10.3969/j.issn.1000-1093.2015.11.026
作者姓名:羊柳  钱林方  丁晟春  尹强
作者单位:(1.南京理工大学 机械工程学院江苏 南京 210094; 2.南京理工大学 经济管理学院江苏 南京 210094)
摘    要:自行火炮设计过程中存在大量变型设计问题,为提高自行火炮设计质量和效率,将案例推理技术引入自行火炮变型设计问题求解过程中。针对自行火炮案例特点及变型设计的需求,提出了一种混合案例推理技术。通过研究基于本体的自行火炮案例表示技术,构建了自行火炮设计案例本体,并确定自行火炮案例检索过程中不同情况下的相似度计算方法。在此基础上,采用基于神经网络的参数预测技术,实现了变型设计问题中设计参数的求解。并以复进机设计为例,验证了所提出方法的可行性和有效性。

关 键 词:兵器科学与技术   自行火炮   变型设计   案例推理   本体   神经网络  
收稿时间:2015-03-06

Research on Hybrid Case-based Reasoning Technique for Self-propelled Artillery Variant Design
YANG Liu,QIAN Lin-fang,DING Sheng-chun,YIN Qiang. Research on Hybrid Case-based Reasoning Technique for Self-propelled Artillery Variant Design[J]. Acta Armamentarii, 2015, 36(11): 2190-2195. DOI: 10.3969/j.issn.1000-1093.2015.11.026
Authors:YANG Liu  QIAN Lin-fang  DING Sheng-chun  YIN Qiang
Affiliation:(1.School of Mechanical Engineering,Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China;2School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China)
Abstract:In order to improve the design quality and efficiency of self-propelled artillery in consideration of a large number of variant design problems existing in self-propelled artillery design, the case-based reasoning technology is introduced into the solution procedure for self-propelled artillery variant design problem. The process of hybrid case reasoning is determined according to the characteristics of self-propelled artillery design case and the requirements of variant design. The ontology-based case representation technique is studied, and a self-propelled artillery design case ontology is built.The similarity calculation formulas for different scenarios are determined for the self-propelled artillery case retrieval. On this basis, the solution of design parameters for variant design problem is achieved by using neural network-based parameter prediction technique. The feasibility and effectiveness of the proposed method are demonstrated by taking recuperator design for example.
Keywords:ordnance science and technology  self-propelled artillery  variant design  case-based reasoning  ontology  neural network
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