中国农业大学学报2011，Vol.16Issue(3)：145-149,5.
基于T-S模型的模糊神经网络在植物病害图像分割中的应用
Fuzzy neural network based on T-S model and its application on image segmentation of plant diseases
摘要
Abstract
Aiming at the fuzziness and uncertainty of the edge of the lesion region pixels,this paper proposed a decision system of image segmentation of plant diseases with linear and clear self-adaptive five-layer fuzzy neural network model,and optimized the initial values of adjustable parameters by quantum genetic algorithm, which based on the function characteristic that pieces of fuzzy rules of T-S model is the input language variable. The experimental result showed that T-S model had many advantages including accuracy, convergence , stability, robustness, and easy to implement when implied in color image segmentation of potato early blight,which overcame local minimum of traditional gradient descent method.关键词
植物病害/图像分割/模糊神经网络/量子遗传算法/决策系统分类
信息技术与安全科学引用本文复制引用
关海鸥,许少华,谭峰..基于T-S模型的模糊神经网络在植物病害图像分割中的应用[J].中国农业大学学报,2011,16(3):145-149,5.基金项目
国家自然科学基金资助项目(60473051) （60473051）
黑龙江农垦总局重点科技攻关项目(HNKXIV-09-04b) （HNKXIV-09-04b）
