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arXiv 1201.0954cs.AR
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诊断信息分析基础设施

Information Analysis Infrastructure for Diagnosis

Vladimir Hahanov, Wajeb Gharibi, Eugenia Litvinova, Svetlana Chumachenko

摘要:

本文提出了一种高速多处理器结构,用于分析以解析、图形和表格形式表示的关联关系信息,在n维向量离散空间中进行搜索、识别和决策。向量逻辑过程模型的实际应用中,解决方案的质量估计提出的二进制向量之间的相互作用的积分非算术度量,描述。建立了向量逻辑空间的度量和估计解的质量准则的理论证明。

英文摘要:

A high-speed multiprocessor architecture for brain-like analyzing information represented in analytic, graph- and table forms of associative relations to search, recognize and make a decision in n-dimensional vector discrete space is offered. Vector-logical process models of actual applications, where the quality of solution is estimated by the proposed integral non-arithmetical metric of the interaction between binary vectors, are described. The theoretical proof of the metric for a vector logical space and the quality criteria for estimating solutions is created.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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