Research on Urban Renewal Public Space Design Based on Convolutional Neural Network Model

By establishing a database of urban space cases, machine learning algorithms and deep learning algorithms can be used to train computers to learn how to design urban spaces. Based on the basic concepts of machine learning and deep learning and their procedural logic, this paper explores the generati...

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Autores principales:	Jixin Wan, Huosai Shi
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology (General) T1-995 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/9349f87b02cd49dcac058043788bf4d3
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id	oai:doaj.org-article:9349f87b02cd49dcac058043788bf4d3
record_format	dspace
spelling	oai:doaj.org-article:9349f87b02cd49dcac058043788bf4d32021-11-29T00:56:34ZResearch on Urban Renewal Public Space Design Based on Convolutional Neural Network Model1939-012210.1155/2021/9504188https://doaj.org/article/9349f87b02cd49dcac058043788bf4d32021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9504188https://doaj.org/toc/1939-0122By establishing a database of urban space cases, machine learning algorithms and deep learning algorithms can be used to train computers to learn how to design urban spaces. Based on the basic concepts of machine learning and deep learning and their procedural logic, this paper explores the generation mode of traffic road network, neighborhood space form, and building function layout of urban space and uses the northern extension of the central green axis of the city as an application case to confirm its feasibility in order to seek a set of artificial intelligence-based urban space generation design method and provide a new idea for the innovative development of urban design methods.Jixin WanHuosai ShiHindawi-WileyarticleTechnology (General)T1-995Science (General)Q1-390ENSecurity and Communication Networks, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology (General) T1-995 Science (General) Q1-390
spellingShingle	Technology (General) T1-995 Science (General) Q1-390 Jixin Wan Huosai Shi Research on Urban Renewal Public Space Design Based on Convolutional Neural Network Model
description	By establishing a database of urban space cases, machine learning algorithms and deep learning algorithms can be used to train computers to learn how to design urban spaces. Based on the basic concepts of machine learning and deep learning and their procedural logic, this paper explores the generation mode of traffic road network, neighborhood space form, and building function layout of urban space and uses the northern extension of the central green axis of the city as an application case to confirm its feasibility in order to seek a set of artificial intelligence-based urban space generation design method and provide a new idea for the innovative development of urban design methods.
format	article
author	Jixin Wan Huosai Shi
author_facet	Jixin Wan Huosai Shi
author_sort	Jixin Wan
title	Research on Urban Renewal Public Space Design Based on Convolutional Neural Network Model
title_short	Research on Urban Renewal Public Space Design Based on Convolutional Neural Network Model
title_full	Research on Urban Renewal Public Space Design Based on Convolutional Neural Network Model
title_fullStr	Research on Urban Renewal Public Space Design Based on Convolutional Neural Network Model
title_full_unstemmed	Research on Urban Renewal Public Space Design Based on Convolutional Neural Network Model
title_sort	research on urban renewal public space design based on convolutional neural network model
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/9349f87b02cd49dcac058043788bf4d3
work_keys_str_mv	AT jixinwan researchonurbanrenewalpublicspacedesignbasedonconvolutionalneuralnetworkmodel AT huosaishi researchonurbanrenewalpublicspacedesignbasedonconvolutionalneuralnetworkmodel
_version_	1718407720793538560

Research on Urban Renewal Public Space Design Based on Convolutional Neural Network Model

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