КФУ. Карточка публикации. The Use of Automated Geomorphological Clustering for Purposes of Urban Planning (The Example of the City of Kazan)

КАЗАНСКИЙ
ФЕДЕРАЛЬНЫЙ УНИВЕРСИТЕТ

RUS

- EN
- 中文
- ES

THE USE OF AUTOMATED GEOMORPHOLOGICAL CLUSTERING FOR PURPOSES OF URBAN PLANNING (THE EXAMPLE OF THE CITY OF KAZAN)

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2014

Авторы, сотрудники КФУ

Ермолаев Олег Петрович, автор

Другие авторы

Селиванов Р.Н.

Библиографическое описание на языке оригинала

Yermolaev O.P. , Selivanov R.N. The Use of Automated Geomorphological Clustering for Purposes of Urban Planning (The Example of the City of Kazan) // World Applied Sciences Journal 30 (11): 1648-1655, 2014. DOI: 10.5829/idosi.wasj.2014.30.11.1422

Аннотация

Differentiation of the relief into separate elementary geomorphological sections yields the basis for most adequate determination of the boundaries of urban geosystems. In this paper the results of approbation of relief classification methods based on Artificial Neuron Networks are presented. The developed model of the restored landscapes represents the city territory as a system of geomorphologically homogenous terrains. The results can be used in the analyzing of informal arrangement of a territory, which is necessary for the adjustment of visual properties of a landscape by planning methods.

Ключевые слова

Artificial Neuron Networks, Relief classification, Geomorphological clustering, City territory, Urban landscape, Functional zoning

Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку

https://repository.kpfu.ru/?p_id=79708

Файлы ресурса

Название файла	Размер (Мб)	Формат
UP.pdf	0,09	pdf	посмотреть / скачать

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Ермолаев Олег Петрович	ru_RU
dc.date.accessioned	2014-01-01T00:00:00Z	ru_RU
dc.date.available	2014-01-01T00:00:00Z	ru_RU
dc.date.issued	2014	ru_RU
dc.identifier.citation	Yermolaev O.P. , Selivanov R.N. The Use of Automated Geomorphological Clustering for Purposes of Urban Planning (The Example of the City of Kazan) // World Applied Sciences Journal 30 (11): 1648-1655, 2014. DOI: 10.5829/idosi.wasj.2014.30.11.1422	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=79708	ru_RU
dc.description.abstract	Differentiation of the relief into separate elementary geomorphological sections yields the basis for most adequate determination of the boundaries of urban geosystems. In this paper the results of approbation of relief classification methods based on Artificial Neuron Networks are presented. The developed model of the restored landscapes represents the city territory as a system of geomorphologically homogenous terrains. The results can be used in the analyzing of informal arrangement of a territory, which is necessary for the adjustment of visual properties of a landscape by planning methods.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Artificial Neuron Networks	ru_RU
dc.subject	Relief classification	ru_RU
dc.subject	Geomorphological clustering	ru_RU
dc.subject	City territory	ru_RU
dc.subject	Urban landscape	ru_RU
dc.subject	Functional zoning	ru_RU
dc.title	The Use of Automated Geomorphological Clustering for Purposes of Urban Planning (The Example of the City of Kazan)	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU