首页> 外文会议>Software Instrumentation - Software Components >Applications of generalized learning in image recognition
【24h】

Applications of generalized learning in image recognition

机译:广义学习在图像识别中的应用

获取原文
获取原文并翻译 | 示例

摘要

Generalized learning model, GLM for short, is a new kind of machine learning model which fuses symbolic learning, connective learning, fuzzy learning, evolutionary learning and statistical learning together. By introducing generalized learning into image recognition, this paper presents a new kind of image recognition model, GLIRM for short. The distinguished advantage of GLIRM is its adaptive learning ability. Through practical application in remote sensing image recognition, satisfactory results have been achieved.
机译:广义学习模型(简称GLM)是一种新型的机器学习模型,它将符号学习,连接学习,模糊学习,进化学习和统计学习融合在一起。通过将广义学习引入图像识别,提出了一种新型的图像识别模型,简称为GLIRM。 GLIRM的显着优势是其自适应学习能力。通过在遥感图像识别中的实际应用,取得了令人满意的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号