Application Research In Case-Based Reasoning Based On Colored Petri Nets Model

Currently, case-based reasoning (CBR) is a similar reasoning, and the core lies with the past examples and experience to solve the problem. It can submit cases to the new system with the system compared to the previous case, according to similarities and differences and to carry out deductions, or the last to explain the case to help solve new problems.For a CBR systems have different models and methods to describe its storage structure and push algorithms, the paper in the CBR on the basis of the introduction of Petri theory, with colored Petri net to simulate CBR system. Not only to build intuitive graphics, also be large and complex system level, modular, which simplifies the whole system framework. Colored by the characteristics of a good definition of colors used to solve the CBR set in the complex characteristics of the attributes that problem and greatly reduce the complexity of the CBR system. Describes the visual image of the CBR system of case-based reasoning process, important is that through the network of Colored Petri analysis and verification technology can be deduced to provide effective method. The research as follows:1. It discusses the CBR system in the process and principles of the CBR system through the lack of analysis on this basis, the introduction of Petri net theory, and pointed out that the CBR system based on Petri net model from the theoretical foundation and build steps.2. It discusses the case of knowledge that will Petri net model for mapping the structure of XML, and the case will be described in XML language and restore the structure of Petri net method, give the weight to connected-arc of Petri net to carry out the fuzzy matching case.3. The article focuses on the CBR case retrieval features and retrieval methods and raised the color-based CBR Petri net in case retrieval of applied research, the establishment of CPN model, the case retrieval algorithms and reasoning steps.4. The article takes Diagnosis of cataract as an example, with more than theoretical construct based on the diagnosis of cataract CPN model, and model the correct analysis and verification, the model proved viable and rationality.