Classification of slovak municipalities by neural networks with regard to the degree of digital literacy index

A. Michalíková, S. Volentierova
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Abstract

Digital literacy includes the ability to understand the information and use it in various formats from various sources presented by modern information and communication technologies. It is known that different regions of the country have different value of digital literacy index. The state tends to support the development of digital literacy in communities with the lowest index. Due to the large number of data that must be processed to determine the digital literacy index up to now research were done only in particular regions. In this paper we presented the program that can determine the value of digital literacy index in territorial unit smaller than the region. We studied the value of this parameter for any municipality and for the data processing we used the neural networks.
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通过神经网络对斯洛伐克市政当局的数字素养指数进行分类
数字素养包括理解和使用现代信息和通信技术提供的各种来源的各种格式的信息的能力。据了解,全国不同地区的数字素养指数值不同。国家倾向于支持指数最低的社区发展数字素养。由于必须处理大量数据来确定数字素养指数,到目前为止,研究只在特定地区进行。本文提出了一种确定数字素养指数在小于区域的国土单位中的数值的方案。我们研究了该参数对任何城市的值,并使用神经网络进行数据处理。
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