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自然科学基金
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  “自然科学基金”译为未确定词的双语例句
    Under the support of the Major State Basic Research Development Program (Subject No. G1999033105) and the fund of the Chongqing Science and Technology Committee (Subject No.2005BB2198), the chaos cryptogram theory and key technique for WSN encryption has studied in the thesis.
    本论文在国家重点基础研究发展规划项目(No.G1999033105)和重庆市自然科学基金(No.2005BB2198)的资助下,深入研究了用于无线微传感器网络加密的混沌加密理论与混沌加密关键技术。
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    This paper is supported by the project of National Nature Science Foundation of China researching on Reasoning 'Theories of Experience Knowledge' (No.60273087), and the project of Hi-Tch Research and Development of 863 Program of China researching on 'Attemper Systems of Produce Plan and Real Time Optimization' (No.2002AA412020).
    本文研究源于国家自然科学基金项目 “经验知识推理理论研究”(No.60273087)和国家863高技术研究发展计划项目“生产计划与实时优化调度系统”(No.2002AA412020)。
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    On the base of the project of national science fund--- (NO.60082001), the main work of the article is studying, designing and adjusting the system of 100GS/s equivalent-time sampling.
    本文在 国家自然科学基金《超高速信息数字化技术研究》(批准号:60082001)的立项基础上,研究、设计、调试了超高速信息数字化系统的关键部分——100GS/s的等价采样系统。
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    This thesis is supported by National Foundation of Science (No. 60071026) and NUDT fund (No. OOJI .4.4.DZ0106).
    本课题得到国家自然科学基金项目(编号:60071026),国防科技预研跨行业基金项目(编号:OOJ1.4.4.DZ0106)资助。
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    Using mobile robots of Robotics Laboratory, ShenYang Institute of Automation. Chinese Academy of Science, this dissertation mainly researches the image resumption and restoration based on the machine panoramic vision, studies the object recognition of gray image in complex background.
    本文以机器人全景视觉观察与定位为应用背景,根据国家自然科学基金项目的研究内容和目标的要求,以中国科学院沈阳自动化研究所机器人学重点实验室和机器人视觉系统为试验环境和实验系统,重点研究了机器人全景视觉图像的恢复与重建方法,研究了基于复杂背景灰度图像的物体识别技术。
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How to use fuzzy set theory to deal with vague observed data and to draw it out into recognition results is the main concern of fuzzy pattern recognition. The goal of this research project is to provide new recognition approaches and schemes for the fields of temporal fuzzy pattern recognition, continuous speech fuzzy recognition, machine vision and remotely sensed image classification on which we focus our attention and efforts. As an interdisciplinary science, the development of fuzzy pattern recognition will...

How to use fuzzy set theory to deal with vague observed data and to draw it out into recognition results is the main concern of fuzzy pattern recognition. The goal of this research project is to provide new recognition approaches and schemes for the fields of temporal fuzzy pattern recognition, continuous speech fuzzy recognition, machine vision and remotely sensed image classification on which we focus our attention and efforts. As an interdisciplinary science, the development of fuzzy pattern recognition will have a strong impact on the research fields of AI, automatic control, information processing, and etc., and will play an important role in the economic areas and military services.

运用模糊数学的概念和方法对具有模糊性的观测结果进行处理和识别,构成了模糊模式识别的基本内容。本课题着重研究瞬态模糊模式识别、连续语音模糊识别、视觉识别、遥感图象高精度分类等,旨在提供新的识别方法,开辟新的研究途径,为上述一批模式识别问题勾画出一新的实用化理论框架。作为一门交叉学科,它的突破对人工智能、自动控制、信号处理等研究领域都有很大的推动作用,对机器智能问题的解决具有重要的理论和实际意义,在军事上和国民经济建设中都会有广泛的应用前景。本课题是国家自然科学基金委员会重大项目“模糊信息处理与机器智能”的课题之一。本文介绍了本课题实施近二年半来取得的成果和今后的研究计划。

A breif description of the major project, "Study on optical neural networks and their applications in pattern recognition", supported by the National Natural Science Fundation of China, is presented in this paper. It includes the background and significance of, the contents covered by, and the branches divided from the project, the recent results of modelling for neural networks that are suitable for pattern recognitions and optical implementations, as well as the progress in developments of the essential techniques...

A breif description of the major project, "Study on optical neural networks and their applications in pattern recognition", supported by the National Natural Science Fundation of China, is presented in this paper. It includes the background and significance of, the contents covered by, and the branches divided from the project, the recent results of modelling for neural networks that are suitable for pattern recognitions and optical implementations, as well as the progress in developments of the essential techniques and the key devices for optical neural networks.

本文简要介绍国家自然科学基金委员会“七五”重大项目“光学神经网络的研究及其在模式识别中的应用”的研究意义、研究内容和研究进展,着重介绍了在适于模式识别和光学实现的神经网络模型研究、光学神经网络中的基础技术研究与关键器件研制等方面所得到的主要进展。

ABSTRACTIn this papers we discuss the problem of getting continuous signal and differential signal properly from the singal which is not differentiable. We give the generalform and some kinds of concrete realization of nonlinear Tracking-Differentiatorwhich can solve the problem stated above. Lastly, we do a simulation research onthe concrete realization.

非线性跟踪一微分器韩京清,王伟(中国科学院系统科学研究所,北京100080)国家自然科学基金资助课题.1992年7月25日收到,1993年2月17日收到修改稿.一、前言在实际工程问题中,常存在由不连续或带随机噪声的量测信号合理地提取连续信号及微分信号...

 
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