id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_asrprf5bwfgjxlzwixdqpn27v4	Y. Lirov	Electronic circuit diagnostic expert systems—A survey	1989	18	.pdf	application/pdf	14572	1939	65	This paper discusses artificial intelligence methods in circuit pack testing. problem-solving strategies which use the knowledge base define the inference engine o f the Learning o f diagnostics systems has been explored only at the compiled knowledge base level reasoning: Pazzani (1987) developed a failure-driven learning mechanism to update the rule-base representation for its knowledge base which is subdivided into Causal Model KB and Test KB. diagnostic expert systems implementations are using a combination o f rule-based and connectivity Electronic circuit diagnostic expert systems---a survey 397 Electronic circuit diagnostic expert systems---a survey 397 Electronic circuit diagnostic expert systems---a survey 397 Electronic circuit diagnostic expert systems---a survey 397 Electronic circuit diagnostic expert systems---a survey 397 Electronic circuit diagnostic expert systems---a survey 397 Electronic circuit diagnostic expert systems---a survey 397 Electronic circuit diagnostic expert systems---a survey 397 J., A method for test system diagnostics based on the principles of artificial intelligence.	./cache/work_asrprf5bwfgjxlzwixdqpn27v4.pdf	./txt/work_asrprf5bwfgjxlzwixdqpn27v4.txt