Study And Design Of Armored Vehicle Index Demonstration System Using Case-Based Reasoning

The demonstration of tactical technique index is core to demonstrate to armored vehicle model, however, the complexity, fuzziness and uncertainty of model demonstration bring difficulty to the index demonstration. Presently index demonstration is finished by handwork. Intellectualized demonstration is the necessary request of Armored vehicle's demonstration to our army in the new era. Consequently, new methods need to be introduced. Case-based reasoning (CBR) is, in essence, the use of past experiences as a basis for dealing with novel problems, which has been used successfully in many fields. This is similar to the index demonstration depending on engineering practice experiences in deeply sense. The traditional rule express of knowledge is difficult, but CBR keeps away from its bottle neck by recalling past cases. So, CBR is introduced into index demonstration in this paper, which has feasibility and practical value.Firstly, this paper discussed the present state of index demonstration research and tendency, at the same time, dissertated actuality, history and work theory of CBR, and introduced case representation methods, case organization methods and case retrieval methods. Secondly, this paper constructed an armored vehicle's index demonstration system using CBR and put forward a design idea and a design flow, and constructed the frame of this system, and also introduced compositive modules and their function. Using relational database built a case base. In addition, an adjusting and learning method was given. Thirdly, case retrieval is a focus of CBR system, the similarity results calculated by the Euclidean Distance retrieval algorithm, which is widely used in the CBR system, often deviates from the fact in engineering. Based on the Nearest Neighbor approach, two modified Euclidean Distance retrieval algorithms were put forward by using a normalization utility function. This paper built respective case retrieval methods combining with the character of index demonstration, and applied them with some practical cases. Attained results show that these two algorithms are suitable to be used in some fields such as index demonstration which posses many complex and uncertainty factors. Users can make a choice and a synthetic judgment among these results caused by the several case retrieval methods according to the practical case, and then instruct engineering practice.Introducing CBR into index demonstration and constructing an armored vehicle tactical technique index demonstration system using it, which is no doubt to provide a new way for armored vehicle tactical technique index demonstration.