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PCNN理论研究进展及其语音识别中的应用
  • ISSN号：1001-9227
  • 期刊名称：自动化与仪器仪表
  • 时间：2013
  • 页码：93-96
  • 分类：TP183[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程]
  • 作者机构：[1]西北民族大学数学与计算机科学学院,甘肃兰州730000, [2]兰州大学信息科学与工程学院,甘肃兰州730000
  • 相关基金：国家自然科学基金项目（No.61175012,No.61201422,No.61162021）;同时由西北民族大学科研创新团队计划资助.
  • 相关项目：结合领域知识的唐卡图像修复系统模型及应用研究
作者： 王念一,马义德,绽琨|
关键词： PCNN, 脉冲耦合神经网络, 语音识别, 图像处理, 机器视觉, PCNN, pulse coupled neural network, voice recognition, image processing, machine vision
中文摘要：

简要总结回顾了近十几年来脉冲耦合神经网络（简称PCNN）理论的发展及应用现状，对PCNN在国内外的主要研究方向和主流应用领域予以梳理，内容安排如下：首先简要、系统地概述PCNN的起源、模型及特性，然后分析讨论了PCNN理论发展及其应用研究，特别是首次概括了近年来PCNN在语音处理领域的研究成果，并在文章最后展望PCNN未来发展前景。

英文摘要：

This paper reviews Pulse Coupled Neural Network （PCNN） and its application in the last decade, and demon- strates main research approaches of PCNN and its main application fields. Firstly, the origin of PCNN is introduced, then the PCNN＇ s modeling, its mathematics expression and characters are summarized. In the next place, we discuss researches on PCNN modeling and PCNN applications; especially we summarize voice recognition based on PCNN in recent years. Finally, the trend of PCNN is pointed out.

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期刊信息
  • 《自动化与仪器仪表》
  • 中国科技核心期刊
  • 主管单位:重庆市科学技术协会
  • 主办单位:重庆工业自动化仪表研究所 重庆市自动化与仪器仪表学会
  • 主编：孙怀义
  • 地址：重庆市人和杨柳路2号A塔楼14楼1405室
  • 邮编：401123
  • 邮箱：auto81@163.com
  • 电话：023-63050371
  • 国际标准刊号：ISSN：1001-9227
  • 国内统一刊号：ISSN：50-1066/TP
  • 邮发代号:78-8
  • 获奖情况:
  • 1983年获中国仪器仪表学会优秀期刊,1987年获四川省科协优秀期刊奖,1993年获重庆市优秀期刊一等奖
  • 国内外数据库收录:
  • 中国中国科技核心期刊
  • 被引量:8199