GEIS的一个突出优势是将范例推理(Case Base Reasoning，CBR)与规则推理(Rule Base Reasoning, RBR)两种人工智能技术相结合，实现了快速预案...
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The knowledge within this system knowledge base is divided into the case knowledge and reasoning rule knowledge.
本系统知识库中的知识分为事例知识和推理规则知识。
As to target case given, how to check and choose the most similar case from case-base decides learning and reasoning functions of case-based reasoning system.
对于给定的目标范例，如何从范例库中检索和选择出最为相似的范例决定了范例推理系统的学习与推理性能。
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