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SYSTEMS OF FRAGMENTS OF ARTIFICIAL NEURAL NETWORKS

机译:人工神经网络碎片系统

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When we study structure of the most used artificial neural network - a multilayer perceptron and functionality of an artificial neuron, there is possibility using certain analogy with relations between descriptions of differential equations of a certain quality, in this paper is developed new approach to these subjects. In deeper view of point there can be used some concepts of locale finite trees of fragments of artificial neural networks and further to research by usage of monounary algebras and their characteristics with description and modeling systems of investigated structures of time-varying artificial neurons.
机译:当我们研究最常用的人工神经网络的结构 - 一种人工神经元的多层的感知和功能时,可能使用某种类比与某种质量的微分方程描述之间的关系,本文开发了这些受试者的新方法 。 在深刻的观点中,可以使用人工神经网络的片段的某些概念,并进一步通过使用机器的使用和它们的特征以及调查结构的时变人造神经元的描述和建模系统来研究。

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