面向自行火炮变型设计问题的混合案例推理技术研究

doi:10.3969/j.issn.1000-1093.2015.11.026

兵工学报 ›› 2015, Vol. 36 ›› Issue (11): 2190-2195.doi: 10.3969/j.issn.1000-1093.2015.11.026

面向自行火炮变型设计问题的混合案例推理技术研究

羊柳¹，钱林方¹，丁晟春²，尹强¹

(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)

收稿日期:2015-03-06 修回日期:2015-03-06 上线日期:2016-02-02
通讯作者: 羊柳 E-mail:ylnjust@126.com
作者简介:羊柳（1989—），男，博士研究生
基金资助:
国防基础科研项目（A2620130003）

Research on Hybrid Case-based Reasoning Technique for Self-propelled Artillery Variant Design

YANG Liu¹， QIAN Lin-fang¹， DING Sheng-chun²， YIN Qiang¹

(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)

Received:2015-03-06 Revised:2015-03-06 Online:2016-02-02
Contact: YANG Liu E-mail:ylnjust@126.com

摘要/Abstract

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

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.

Key words: ordnance science and technology, self-propelled artillery, variant design, case-based reasoning, ontology, neural network

中图分类号:

TJ302

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.

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.

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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

Research on Hybrid Case-based Reasoning Technique for Self-propelled Artillery Variant Design

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