Animal Identification System Experiment 1. Rule-based system architecture: rule-based production system by the rule base (KB), a comprehensive database and inference engine (inference engine) consists of three parts, the rule base of its most basic framework is as followsshown in Figure 1. Knowledge is the rules of the facts and the topics discussed by the predicate calculus, the comprehensive library also known as context to conclusions and data is temporarily stored in the reasoning process. The inference engine is the process of inference rules and behavior. Knowledge acquisition system is the domain expert knowledge of the related fields into definite form, and entered into the knowledge base. Interpretation system conditions input by the user the inference structure analysis was performed by the system, and the expert knowledge is easy to understand and explain the knowledge to the user. 2 simple animal identification system structure: (1) Knowledge Base ANIMAL knowledge base is v

C++_AnimalsRecognition(正向推理)\AnimalsRecognition\AnimalsRecognition.cpp
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C++_AnimalsRecognition(正向推理)

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