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Meta-model Design for Internet Multimedia Neurophysiology Interface

机译:互联网多媒体神经生理界面的元模型设计

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Internet modelling research has worked out its own problem domain. It unites the results and methods of fundamental sciences as physics, chemistry, and quantum mechanics, so exotic mathematically poor described neurophysiology together with rapidly developing knowledge engineering. Global scientistspsila cooperation leads to creation of multimedia systems, representing Internet cognitive interface, and new theoretical methods for knowledge discovery. Hidden Markov chains with complex topology are important theoretical base stone of knowledge discovery technology. Research meta-model with hidden Markov chain for Internet multimedia interface is suggested. On the base of Internet modelling the approach for quantum mechanics and information theory logic monotony knowledge fusion was suggested. It was demonstrated for uncertainty relation of quantum mechanics and Shannon information measure by applying lifting lemma to Internet modelling domain, that logic monotony of Internet knowledge base had been preserved.
机译:互联网建模研究已经完成了自己的问题域名。它将基本科学的结果和方法与物理,化学和量子力学联合起来,如同迅速发展知识工程,使得神经生理学的异国情调。全球科学学家普及普拉合作导致创建多媒体系统,代表互联网认知界面和知识发现的新理论方法。隐藏的马尔可夫链复杂拓扑是知识发现技术的重要理论基石。提出了研究META模型,带有隐藏马尔可夫链式互联网多媒体界面。在互联网建模的基础上,提出了量子力学与信息理论逻辑单调知识融合的方法。通过将提升引理施加到互联网建模领域来证明了量子力学和香农信息措施的不确定性关系,所以保留了互联网知识库的逻辑单调。

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