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Streaming VIRTUAL COMPUTER SYSTEM, based on information model of artificial neural networks and neural

机译:基于人工神经网络和神经网络信息模型的流虚拟计算机系统

摘要

The method of constructing a virtual stream computing system based on the information model of artificial neural networks and neuron designed (directed, focused) to overcome the limitations of the medium of calculations and feasibility of various forms of computing technology-based streaming parallel processing inherent in known modern architecture (structures) Computing systems, in order to expand their functionality and intellectual capacities, improve information rabotosposo NOSTA in a closed, limits exchange and uncertainty create highly complex intelligent information neural networks, the implementation of virtual streaming computing systems with a dynamically changeable structure, increase information reliability of the results of calculations and data processing for solutions designated problem proposed logical organization architecture virtual streaming computing system implemented according to principle multilayer modular system that includes a processor layer and a sufficient amount of virtual memory different levels of layers, the layers - the processor and the virtual memory - are modular partition processor modules logically and functionally are combined and configured in a virtual computing structure according to the geometry and topology information model of the neural network and logically, and information perform the function of neurons, and the interaction therebetween is organized based on the same principles as the neurons in the neural network model information, and constituting the base elements m
机译:一种基于人工神经网络信息模型和神经元设计(定向,聚焦)的虚拟流计算系统的构建方法,克服了计算介质的局限性以及各种形式的基于计算技术的流式并行处理固有的可行性。已知的现代体系结构(结构)计算系统,为了扩展其功能和智能能力,在封闭状态下改进信息rabotosposo NOSTA,限制交换和不确定性,创建高度复杂的智能信息神经网络,实现具有动态可变性的虚拟流计算系统结构,增加解决方案指定问题的计算和数据处理结果的信息可靠性,提出了一种逻辑组织架构虚拟流计算系统,该系统根据原理实现,包括处理器层和足够的多层模块化系统虚拟内存的数量不同层次的层,即处理器和虚拟内存的层-模块化分区处理器模块,在逻辑上和功能上根据神经网络的几何和拓扑信息模型在逻辑计算上组合和配置为虚拟计算结构,并且信息执行神经元的功能,并且它们之间的交互基于与神经网络模型信息中的神经元相同的原理进行组织,并构成了基本元素m

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