CHINESE JOURNAL OF ENERGETIC MATERIALS
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Knowledge Representation of Propellant Formula Design Based on Semantic Network
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(1. Xi′an NorthWest University, Xi′an 710127, China; 2. Xi′an Modern Chemistry Research Institute, Xi′an 710065, China)

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    Abstract:

    Semantic network knowledge representation method was used to set up a semantic network system for propellant formula knowledge and to study the structure of this system stored in the database.The knowledge of propellant formulation design with rich contents and complex relationship was expressed successfully as the knowledge content applying to expert system.A modified double-based propellant formula example designed by the expert system shows the effect of using the knowledge system in the propellant formula design expert system.

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李志琴,赵宏安,赵凤起,等.基于语义网络的推进剂配方设计知识表示[J].含能材料,2014,22(4):542-547.
LI Zhi-qin, ZHAO Hong-an, ZHAO Feng-qi, et al. Knowledge Representation of Propellant Formula Design Based on Semantic Network[J]. Chinese Journal of Energetic Materials,2014,22(4):542-547.

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History
  • Received:July 17,2013
  • Revised:September 18,2013
  • Adopted:October 08,2013
  • Online: July 23,2014
  • Published: