多源信息的实时智能融合系统研究

Research on real-time intelligent fusion system of multi-source information

面对复杂实时的融合环境 ,现有的信息融合方法仍然存在着许多不足之处 .针对这一问题 ,本文以专家系统技术为基础 ,综合运用数据库技术、神经网络理论和黑板理论 ,对复杂融合系统的知识表示、知识获取、知识管理和实时融合推理机制进行了一些研究 .在此基础上 ,提出了一种多源信息的实时智能融合系统 ,并对该系统中的知识库和推理机进行了详细的论述 .

When the user comes up against complex and real-time fusing problem, fusing res ult is always unsatisfied. In order to solve this problem, expert system technol ogy, database technology, neural network theory and blackboard theory are adopte d comprehensively. And some bottle-neck problems in the complex fusion system such as knowledge denotation, knowledge acquisition, know ledge management and real-time reasoning mechanism are studied. On the basis of it, a real-time intelligent fusion system of multi-source infor mation is proposed, and the operating principles of knowledge base and reasoning machine in this system are discussed.