Neural Networks
| Types of Regional Profiles 2015 | ||
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The aim of clustering the districts is to identify, describe and identify specific groups of districts whose regional profiles are similar. As described in the methodology, this process is carried out simultaneously for all indicators characterizing the socio-economic situation and the development of districts by using neural networks. |
The goal of the multidimensional analysis of regional development is to review and analyze the common socio-economic development of the regions in the 2008-2010 period, using a wide variety of indicators, grouped in seven categories: economy, infrastructure, demographics, education, healthcare, environment, social environment. |
Latest news
Veliko Tarnovo Region: intensive cultural life, good education, but poor demographic picture 16.12.2024
The gross domestic product in Veliko Tarnovo district is growing faster than the national average relative to...
Varna: high employment and good education 09.12.2024
Varna District remains among the leaders in terms of gross domestic product per capita. Salaries and incomes...
Five trends for Plovdiv and Pazardjik municipalities 03.12.2024
The municipalities in the Plovdiv and Pazardzhik districts demonstrate rapid economic growth, driven mainly...
Regional Profiles: Indicators of Development - Burgas 29.11.2024
The material is a part of the IME study "Regional Profiles: Indicators of Development 2024".