首页> 外文会议>Journal of optoelectronics. laser >An associative neural network for patern recognition based on morphological hit-miss transform and its optical implementation
【24h】

An associative neural network for patern recognition based on morphological hit-miss transform and its optical implementation

机译:基于形态命中缺失变换的模式识别关联神经网络及其光学实现

获取原文
获取原文并翻译 | 示例

摘要

Neural networks have been extensively studied and applied to different fields such as pattern recognition [1-4].Many netural networks based on optical correlation had been developed during the past 20 years.
机译:神经网络已被广泛研究并应用于不同领域,例如模式识别[1-4]。在过去的20年中,已经开发了许多基于光学相关的神经网络。

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