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a virtual data generation amp; method of searching of a file in distributed file system using genetic algorithm based neural network.

机译:虚拟数据生成和使用基于遗传算法的神经网络在分布式文件系统中搜索文件的方法。

摘要

NeuroDFS computer dreaming system is based on Genetic Algorithm generated by Neural Network where each neuron work as an atomic unit of a distributed system. Each neuron have behemoth amount of data of underlying itself, relative DFS and Search Engine approach. In this system, searching of a missing file is identified by intelligence of neural network probability density. This methodological invention will enhance system abilities by advancing the search of missing file in DFS to nanoseconds. To make searching method more cognizant, NeuroDFS computing system uses the distinguished algorithms available through search engine using Simple Euclidean Distance, Cross Correlation, Histogram Comparison, Detectors of Salient Point/Area and Piximilar Multicolor Search process which also enablesgeneration of virtual files at nth instance of timescale in a predefined and allocated hyperspace. These files were in non-existence on current distributed file system at (n-l)th instance of timescale. Hence this disclosure takes modern computing to a new zenith of computer dreaming.
机译:NeuroDFS计算机梦境系统基于神经网络生成的遗传算法,其中每个神经元都充当分布式系统的原子单元。每个神经元都有其自身的庞然大物,相对的DFS和搜索引擎方法。在该系统中,通过神经网络概率密度的智能来识别丢失文件的搜索。通过将在DFS中丢失文件的搜索推进到纳秒,此方法学发明将增强系统功能。为了使搜索方法更具认知性,NeuroDFS计算系统使用了搜索引擎提供的出色算法,这些算法使用简单的欧氏距离,互相关,直方图比较,显着点/区域检测器和像素多色搜索过程,该过程还可以在第n个实例生成虚拟文件预定义和分配的超空间中的时间刻度。在时标的第(n-1)个实例中,这些文件在当前的分布式文件系统上不存在。因此,本公开将现代计算带到了计算机梦的新天地。

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