...
首页> 外文期刊>Neurocomputing >A novel parallel framework for pursuit learning schemes
【24h】

A novel parallel framework for pursuit learning schemes

机译:追求学习计划的新型并行框架

获取原文
获取原文并翻译 | 示例
           

摘要

Parallel operation of learning automata (LA), which is proposed by Thathachar and Arvind, is a promising mechanism that can reduce the computational burden without compromising accuracy. However, as far as we know, this parallel mechanism has not been widely used due to two reasons: one is the fact that the environment can response to multi-actions simultaneously are few, the other is the relatively slow speed of the learning process.
机译:Thathachar和Arvind提出的学习自动机(LA)的并行操作是一种很有前途的机制,可以减轻计算负担而不影响准确性。然而,据我们所知,这种并行机制尚未得到广泛使用,其原因有两个:一个是环境能够同时对多个动作做出响应的事实很少,另一个是学习过程速度相对较慢。

著录项

  • 来源
    《Neurocomputing》 |2017年第8期|198-204|共7页
  • 作者单位

    Shanghai Jiao Tong Univ, Dept Elect Engn, 800 Dongchuan Rd, Shanghai 200240, Peoples R China;

    Shanghai Jiao Tong Univ, Dept Elect Engn, 800 Dongchuan Rd, Shanghai 200240, Peoples R China;

    Shanghai Jiao Tong Univ, Dept Elect Engn, 800 Dongchuan Rd, Shanghai 200240, Peoples R China;

    Shanghai Jiao Tong Univ, Dept Elect Engn, 800 Dongchuan Rd, Shanghai 200240, Peoples R China;

    Shanghai Jiao Tong Univ, Dept Elect Engn, 800 Dongchuan Rd, Shanghai 200240, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Learning automata; Parallel framework; Decentralized learning; Centralized fusion; Learning speed;

    机译:学习自动机;并行框架;分散学习;集中融合;学习速度;

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