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Combining self-organizing maps (SOM) with case-based reasoning (CBR), a hybrid intelligent forecast method for CFW (cucumber fusarium wilt) is presented. Different from the traditional similar case retrieval, this method performs case classification with trained SOM network and then figures out a similar case set using a proposed case similarity metric. A classification accuracy of 97.22% was achieved...
Taking cucumber downy mildew (CDM) as research object, this research explores a technology of crop disease dynamic forecast integrated with case-based reasoning (CBR) methodology. A case indexing mechanism guided by idea of vantage case is developed to speed up the retrieval process and rapidly generate a similar case set for a new case in this CBR system. The range of optimal cluster number for this...
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