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Description: 分布式环境的计算，课件的使用，以及各种资源-The research paper of “Segmentation methods of fruit image based on color difference” is mainly about four segmentation methods in fruit-harvesting robot vision, which respectively are dynamic threshold segmentation method, extended Otsu method, improved Otsu combined with genetic arithmetic and adaptive segmentation method based on LVQ network. It is written in a good structure.
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Size: 436224 |
Author: 陈宥余 |
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Description: 对拍摄得到的驾驶员视频帧图像, 使用复合肤色模型检测人脸 通过自适应边缘检测、 图像增强等方法处理得到
特征图像, 经特征区域筛选, 依据人脸先验知识匹配得到最佳人眼对 提取眼部特征向量, 结合 LVQ神经网络进行模式
识别检测眼部状态, 为判断驾驶员是否处于疲劳状态提供判据。-Video shot by the driver of the frame, the use of composite skin model of face detection through adaptive edge detection, image enhancement approach to be characteristic image, the feature area selection, based on prior knowledge of face matching the best human eye extracted eye feature vectors, combined with LVQ neural network pattern recognition detection of eye condition, to determine whether driver fatigue is provided in the criterion.
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Size: 106496 |
Author: 廖减员 |
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Description: Abstract— Identifying exceptional students for
scholarships is an essential part of the admissions process in undergraduate and postgraduate institutions, and identifying weak students who are likely to fail is also important for allocating limited tutoring resources. In this article, we have tried to design an intelligent system which can separate and classify student according to learning factor and performance. a system is proposed through Lvq networks methods, anfis method to separate these student on learning factor . In our proposed system, adaptive fuzzy neural network(anfis) has less error and
can be used as an effective alternative system for classifying students. -Abstract— Identifying exceptional students for
scholarships is an essential part of the admissions process in undergraduate and postgraduate institutions, and identifying weak students who are likely to fail is also important for allocating limited tutoring resources. In this article, we have tried to design an intelligent system which can separate and classify student according to learning factor and performance. a system is proposed through Lvq networks methods, anfis method to separate these student on learning factor . In our proposed system, adaptive fuzzy neural network(anfis) has less error and
can be used as an effective alternative system for classifying students.
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Size: 299008 |
Author: Nguyen Anh Tuan |
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