The Technology Researching Of Case-Based Reasoning In Sugarcane Harvester Intelligent Design System

Set out from the Case Reasoning Module in the Reasoning Machine of Sugarcane Harvester Intelligent Design System(SHIDS), this paper studies the step flow ,the knowledge and method which are involved in various steps of Case-Based Reasoning(CBR). On the basis of the analysis and refinement of the data in database as well as other materials foundations, the Case Knowledge Base to take the Case-Based Reasoning foundation is constructed. Then the index mechanism of "classified + characteristic" is adopted to establish case index to reduce the hunting zone. Immediately after putting forward Weighting Nearest Neighbor Approach algorithm formula, the similar case using the Weighting Nearest Neighbor Approach algorithm the retrieval is carried on with the utilization analytic hierarchy process determination the weight of Case-Based Reasoning foundation. Then the fuzzy evaluation and BP algorithm of evaluation module is transferred to retrieve to the similar case carries on the confldence computation from the case performance aspect so as to judge the case by this successful or not. The cases whose confldence are big enough to be successful ones are output directly by text and saved. And whose confldence are not big enough but have revision space are submitted to the designer to revise manually. After the revision, the evaluation module is transferred to carry on the evaluation once more. Such work is repeated until obtains the successful case.The realization of Case-Based Reasoning in SHIDS has certain practical...