The Study And Implementation Of Sheep & Goat Diagosis Expert System Based On CBR

Along with China's rural industrial structure adjustment,sheep industry is developing very fast, meanwhile sheep disease diagnosis and prevention work should be strengthened, especially in rural grassroots the lower level of diagnosis situation badly needs improvement. Using expert system supporting the sheep disease diagnosis can effectively compensate for the sheep disease experts shortage problem and promote the sheep disease research transformation rapidly.Based on the full investigation of human sheep disease experts'diagnostic method, this article brings up a new perspective based on CBR to research and implement Sheep Disease Diagnosis Expert System against the shortcomings of RBR System. Its main content and conclusions are as follows:(1) Analyzed the content and method of sheep disease cases representation Uses frame to represent sheep disease cases, puts case ID, case Category, case features, diagnosis result, treatment, auxiliary property into cases.(2) Made a detailed analysis and design of case-base'structure and organization. Used two-level-structure to organize case-base: typical case-base and specific sub-case-base.Adopted maximum-similarity-method to classify the original case-base to construct each specific sub-case-base; used calculating"max sum among cases"to search the typical case in each sub-case-base.(3) Designed a method to calculate case symptom weight.(4) The key technologies of the system have been discussed comprehensively, which contains: case retrieving, modifying, learning and case-base maintaining. Among those key technologies, case retrieving is the core step. The system used phasic-nearest-neighbor strategy to retrieve cases in case-base. This strategy combining with two-level-structure highly reduced retrieving times, so that improved the efficiency of search.(5) According to system requirements analysis, designed several system functional models, adopted C/S framework, implemented the sheep disease diagnosis expert system on the platform of Windows XP + Microsoft SQL Server 2000 + Java in Eclipse3.2 developing environment.After system testing shows that it has good performance.