首页> 外国专利> MACHINE LEARNING SYSTEM TO IDENTIFY AND OPTIMIZE FEATURES BASED ON HISTORICAL DATA, KNOWN PATTERNS, OR EMERGING PATTERNS

MACHINE LEARNING SYSTEM TO IDENTIFY AND OPTIMIZE FEATURES BASED ON HISTORICAL DATA, KNOWN PATTERNS, OR EMERGING PATTERNS

机译:基于历史数据,已知模式或新兴模式的机器学习系统,用于识别和优化功能

摘要

Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. An ensemble machine learning system is coupled to a graph module storing a graph structure, wherein a collection of entities and the relationships between those entities forms nodes and connection arcs between the various nodes. A hotfile module and hotfile propagation engine coordinate with the graph module or may be subsumed within the graph module, and implement the various hot file functionality generated by the machine learning systems.
机译:公开了机器学习模型,语义网络,自适应系统,人工神经网络,卷积神经网络以及其他形式的知识处理系统。集成机器学习系统耦合到存储图形结构的图形模块,其中实体的集合以及这些实体之间的关系形成节点和各个节点之间的连接弧。热文件模块和热文件传播引擎与图模块协调,或者可以包含在图模块内,并实现由机器学习系统生成的各种热文件功能。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

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