龙眼加工性状综合评价的模糊人工神经网络模型  

A Fuzzy Artificial Neural Network Model for Summing-up Evaluation of the Processing Characteristics in Longan

作　　者：于平福[1] 朱建华[2] 黄凤珠[2] 陆贵峰[2] 

机构地区：[1]广西农业科学院科技情报研究所,广西南宁530007 [2]广西农业科学院园艺研究所,广西南宁530007

出　　处：《农业系统科学与综合研究》2007年第1期120-123,共4页System Sciemces and Comprehensive Studies In Agriculture

基　　金：广西科学基金项目(桂科自0339023)

摘　　要：基于Matlab7.0平台,将人工神经网络理论和模糊数学原理相结合,构建了模糊人工神经网络综合评价模型,进行了其网络在龙眼加工性状评价及品种分级中的具体应用,并将其评价结果与模糊综合评判法所得的结果进行比较。结果表明,建立的模型实用、可操作性强,评价结果较为客观、可靠,具有较好的应用前景。图1,表5,参6。Based on the Matlab 7.0 platform, a Fuzzy Artificial Neural Network Model for Summlng-up Evaluation was set up through combining the artificial neural network theory and the fuzzy mathematic principle, and applied to evaluating of the processing characteristics and grading of the varieties in Longan. Compared with the evaluation by a fuzzy comprehensive evaluation method, the Fuzzy Artificial Neural Network Model was more practical and operable. The evaluation results by the model are objective and reliable. It has good future for applications.

关 键 词：龙眼 加工性状 模糊评价 神经网络 

分 类 号：S116[农业科学—农业基础科学]