模式识别与人工智能 的翻译结果

  本文关键词：人工智能、模式识别在气象领域应用的现状与展望，由笔耕文化传播整理发布。

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计算机软件及计算机应用

模式识别与人工智能

     The VLPR system involves the techniques of digital image processing, computer vision, pattern recognition and artificial intelligence and so on.

     VLPR系统的研究涉及数字图像处理、计算机视觉、模式识别与人工智能等多个技术领域，其关键技术包括车牌定位、字符分割、字符识别等。

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     The VLPR system involves the techniques of digital image processing, computer vision, pattern recognition and artificial intelligence and so on.

     VLPR系统的研究涉及数字图象处理、计算机视觉、模式识别与人工智能等多个技术领域，其关键技术包括车牌定位、字符分割、字符识别等。

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     This paper presents the image analysis and recognition in spinal diseases by using the digital image processing techniques,theories and methods associated with pattern recognition and artificial intelligence.

     本文将数字图象处理技术、模式识别与人工智能的理论和方法用于脊柱疾病的图象分析与识别.

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     Computer visual technique,which is an important field of the pattern recognition and artificial intelligence, has been used in many aspects of food industry.

     计算机视觉技术是模式识别与人工智能的一个重要领域,其应用已扩展到食品行业的诸多方面。

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     Computer visual technique, which is an important field of the pattern recognition and artificial intelligence, has been used in many aspects of agriculture.

     计算机视觉技术是模式识别与人工智能的一个重要领域,其应用已扩展到农业领域的诸多方面。

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     Speaker recognition is a branch of speech signal processing, it involves a lot of fields, such as the acoustics, phonetics, linguistics, physiology, psychology, information engineering, communication theory, electronic technique, computer science, pattern recognition, artificial intelligence etc, and is a interdisciplinary application field.

     说话人识别是一类特殊的语音识别，，它并不在意语音信号中的语义内容，而只强调各个说话人之间的特征差异，希望从语音信号中提取说话人的个性特征。 说话人识别是语音信号处理的一个分支，涉及到语音学、语音信号处理、模式识别与人工智能等学科，是跨学科的综合性应用研究领域。

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     This paper is written on the background of the project of N-1 Style Intelligent Road Surface Disease Inspection Vehicle of Department of Computer Science of Nanjing University of Science and Technology. It aims to improve the system architecture and to study the automatic inspection algorithm of diseases in road surface images.

     本文的工程背景是南京理工大学计算机系模式识别与人工智能实验室的N—1型道路状况智能检测车项目，目的是对系统的体系结构进行改进，对路面病害自动检测算法进行研究。

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     Because EHW has ability of self-adapting to environment and quickly self-recombinedits structure, we can predict that evolution technology of hardware will be applied extensivelyto design of electro circuit, automatic control, system of compatible error, mode identify andartificial intelligence, intelligent robot, outer space, deep ocean and so on. Especially, itopened up broad prospects for Aviation and Deep Ocean.

     可以预言:硬件进化技术将被广泛应用于电路设计、自动控制、容错系统、模式识别与人工智能、智能机器人、太空和深海等领域,尤其在航空、航天领域将展现广阔的应用前景。

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     In recent years, scientific workers have used fire protection, civil security, fire science, image processing technology, infrared detection, computer vision, pattern-recognition with artificial intelligent, computer network, and so on. All kinds of new and high technology have developed the products of fire detection, improving the monitor capability to the fire.

     近年来,科学工作者综合运用了消防、民用安全、火灾科学、图像技术、红外检测、计算机视觉、模式识别与人工智能及计算机网络等各高新技术,开发出相应的产品,提高了对火灾的防治能力。

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     The problem of automatically tracking the sync-phase axis on the seismic cross-section images via pattern recognition and AI approaches is one of the major topics in seismic data explanation.

     应用模式识别与人工智能技术解决剖面图同相轴的自动追踪问题,是目前地震勘探资料自动解释中所研究的主要问题之一.

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     Research of neural networks and pattern recognition

     神经网络研究与模式识别

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     Mode S and Military IFF

     S模式与军用敌我识别

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     Study of Memory Mode and Artificial Intelligence

     记忆模式与人工智能的研究

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     Application of Artificial Intelligence and Pattern Recognition in Meteorology: Development and Prospect

     人工智能、模式识别在气象领域应用的现状与展望

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     Optical Pattern Recognition and Intelligence Processors

     光学模式识别和人工智能处理器

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  pattern recognition and artificial intelligence

For the past fifteen years the "Pattern Recognition and Artificial Intelligence" research group at thecrin has been involved in various projects on isolated-word and continuous speech recognition.

Her research area covers computer vision, image processing, pattern recognition and artificial intelligence.

International Journal of Pattern Recognition and Artificial Intelligence, 8, 147-165.

This paper presents the image analysis and recognition in spinal diseases by using the digital image processing techniques,theories and methods associated with pattern recognition and artificial intelligence.Based on this idea,the computer diagnosis system constructed increases the diagnostic reliability of spinal tumor and gives satisfactory results.

本文将数字图象处理技术、模式识别与人工智能的理论和方法用于脊柱疾病的图象分析与识别.由此构成的计算机诊断系统提高了对脊柱肿瘤诊断的可信度,经临床试验,取得满意效果.

The problem of automatically tracking the sync-phase axis on the seismic cross-section images via pattern recognition and AI approaches is one of the major topics in seismic data explanation. This paper presents a methol which employs AR model to represent the sync-phase axis and track the axis automatically by a special data structure and searching technique. Compared with the results described in [1] and [2], this method is capable of repairing the broken points, thus keeping the continuity of the axis. It...

The problem of automatically tracking the sync-phase axis on the seismic cross-section images via pattern recognition and AI approaches is one of the major topics in seismic data explanation. This paper presents a methol which employs AR model to represent the sync-phase axis and track the axis automatically by a special data structure and searching technique. Compared with the results described in [1] and [2], this method is capable of repairing the broken points, thus keeping the continuity of the axis. It can also provide useful information about the ends of the axis as well as the broken strata and their locations. The structure of the proposed system can be provided with an interface for knowledge input, thus making it possible to track intelligently.

应用模式识别与人工智能技术解决剖面图同相轴的自动追踪问题,是目前地震勘探资料自动解释中所研究的主要问题之一.本文提出了一种区别于文献[1,2]的新的AR自动追踪方法,首次应用AR模型描述同相轴,在一种特定的数据结构和搜索策略下实现了同相轴的AR自动追踪.与已有的研究结果相比,该方法能修补断点,保持同相轴的连续性;对尖灭和断层给出了有参考价值的结果;并显示以同相轴划分的大致层位.该方法在结构上还有引入知识的接口,从而提供了实现智能追踪的可能性.

Abstract

醚菊脂类似物构效关系的人工神经网络方法的研究蔡煜东，程兆年，汪列，姚林声，陈念贻（中国科学院上海冶金研究所上海２０００５０）１人工神经网络－Ｂ－Ｐ模型及算法Ｂ－Ｐ模型（“反向传播”模型）的结构与算法见文献（尹红风等。模式识别与人工智能，１９９０，３（...

  本文关键词：人工智能、模式识别在气象领域应用的现状与展望，由笔耕文化传播整理发布。