首页|South China University of Technology Researcher Describes Research in Machine Le arning (Optimizing the Layout of Service Facilities for Older People Based on PO I Data and Machine Learning: Guangzhou City as an Example)
South China University of Technology Researcher Describes Research in Machine Le arning (Optimizing the Layout of Service Facilities for Older People Based on PO I Data and Machine Learning: Guangzhou City as an Example)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting originating from Guangzh ou, People’s Republic of China, by NewsRx correspondents, research stated, “Popu lation aging is a global issue. China is facing the same challenge, especially i n its megacities, with more than 10 million permanent urban residents.” Our news correspondents obtained a quote from the research from South China Univ ersity of Technology: “These densely populated cities urgently need the scientif ic planning and optimization of the layout of service facilities for older peopl e. Taking Guangzhou, a megacity in China, as an example, this study uses point-o f-interest (POI) data and the ID3 machine learning decision tree algorithm to tr ain a site selection model for service facilities for older people. The model ca n help to select appropriate locations for new service facilities for older peop le more scientifically and accurately, and it can provide targeted suggestions t o optimize the layout of the service facilities for older people in Guangzhou. F irst, Guangzhou city is divided into 29,793 grids of 500 m x 500 m based on the range of activities of older people, and 985 grids are found to contain service facilities for older people. Then, the POI data of the grid are fed into the ID3 algorithm for training to obtain a prediction model for the selection of sites for service facilities for older people. The effective prediction rate of the mo del reaches 87.54%.”
South China University of TechnologyGu angzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachi ne Learning
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