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一个网络信息内容安全的新领域——网络信息渗透检测技术 被引量:12
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作者 陈训逊 方滨兴 +1 位作者 胡铭曾 李蕾 《通信学报》 EI CSCD 北大核心 2004年第7期185-191,共7页
提出了一个新的网络与信息安全领域的应用技术:网络信息渗透检测技术,适用于国际反恐、应急处理等方面的技术分析。文中研究并给出了信息渗透及检测技术的研究模型和总体框架,提出了总体解决思路,对网络信息渗透技术进行了抽象研究,划... 提出了一个新的网络与信息安全领域的应用技术:网络信息渗透检测技术,适用于国际反恐、应急处理等方面的技术分析。文中研究并给出了信息渗透及检测技术的研究模型和总体框架,提出了总体解决思路,对网络信息渗透技术进行了抽象研究,划分了三类通道,提出了采用降级方式分别对三类通道进行处理的策略,并用未知通信协议的分析对综合集成方法进行了验证。 展开更多
关键词 信息安全 网络信息渗透检测技术 开放的复杂巨系统 metasynthesis 降级分析
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Knowledge-Based Multifaceted Modeling Methodology for Open Complex Giant Systems
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作者 Qin, Shiyin 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 1997年第3期34-42,共9页
In this paper, the structure characteristics of open complex giant systems are concretely analysed in depth, thus the view and its significance to support the meta synthesis engineering with manifold knowledge models... In this paper, the structure characteristics of open complex giant systems are concretely analysed in depth, thus the view and its significance to support the meta synthesis engineering with manifold knowledge models are clarified. Furthermore, the knowledge based multifaceted modeling methodology for open complex giant systems is emphatically studied. The major points are as follows: (1) nonlinear mechanism and general information partition law; (2) from the symmetry and similarity to the acquisition of construction knowledge; (3) structures for hierarchical and nonhierarchical organizations; (4) the integration of manifold knowledge models; (5) the methodology of knowledge based multifaceted modeling. 展开更多
关键词 Knowledge based multifaceted modeling Open complex giant systems metasynthesis engineering Interpretive structural modeling.
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Parallel compact integration in handwritten Chinese character recognition 被引量:1
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作者 WANGChunheng XIAOBaihua DAIRuwei 《Science in China(Series F)》 2004年第1期89-96,共8页
In this paper, a new parallel compact integration scheme based on multi-layer perceptron (MLP) networks is proposed to solve handwritten Chinese character recognition (HCCR) problems. The idea of metasynthesis is appl... In this paper, a new parallel compact integration scheme based on multi-layer perceptron (MLP) networks is proposed to solve handwritten Chinese character recognition (HCCR) problems. The idea of metasynthesis is applied to HCCR, and compact MLP network classifier is defined. Human intelligence and computer capabilities are combined together effectively through a procedure of two-step supervised learning. Compared with previous integration schemes, this scheme is characterized with parallel compact structure and better performance. It provides a promising way for applying MLP to large vocabulary classification. 展开更多
关键词 handwritten Chinese character recognition (HCCR) metasynthesis multi-layer perceptron (MLP) compact MLP network classifier supervised learning.
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