Predicting Chemical Structure of Drugs Using Deep Learning

고수현,; 박치현,; 안재균,

doi:10.5626/jok.2021.48.2.234

Cited by 1 publication

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“…It has built a part of social facilities for sports through the annual investment of the sports lottery public welfare fund. This level of social facilities for sports has a strong “debt repayment” nature for the unbalanced development of competitive sports and mass sports in China for a long time [ 23 ]. By the end of 2020, Hangzhou will have fitness paths (3,849 fitness paths), fitness gardens (173), and fitness sports (more than 7,000).…”

Section: Experiments On the Optimization Of The Facility Layout Of Ur...mentioning

confidence: 99%

Facility Layout Optimization of Urban Public Sports Services under the Background of Deep Learning

Huang

2022

Computational Intelligence and Neuroscience

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The spatial layout and optimization of social facilities for sports are related to many factors such as urban economy, transportation, population, and urban planning. With the rapid development of artificial intelligence today, deep learning came into being. It also provides a lot of methods for our in-depth research on it. To solve the problem of unbalanced layout of urban social facilities for sports and the difficulty in meeting the needs of residents under the current background, this paper adopts the methods of M-P model, loss function, and activation function. Taking Hangzhou, a sports city that is about to host the Asian Games, as an example, it carried out an experiment to optimize the layout of urban public sports services. Through various tests and data, it divides the accessibility level of social facilities for sports in Hangzhou into four levels: high accessibility point (1.0-1.5), high accessibility point (0.5-1.0), the accessibility is average (0.2-0.5), and the accessibility is poor (<0.2). It also concluded that the areas with high accessibility (1.0-1.5) are Shangcheng District and Binjiang District, and the layout of sports facilities is optimal. According to the minimum facility point model, Xiaoshan District and Yuhang District need to add 6 large-scale social facilities for sports. Through this experiment, this paper can also provide a reference for other urban layouts. This has significance for the optimization of sports facilities and the optimization of public facilities.

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Section: Experiments On the Optimization Of The Facility Layout Of Ur...mentioning

confidence: 99%

Facility Layout Optimization of Urban Public Sports Services under the Background of Deep Learning

Huang

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

Predicting Chemical Structure of Drugs Using Deep Learning

Cited by 1 publication

References 0 publications

Facility Layout Optimization of Urban Public Sports Services under the Background of Deep Learning

Facility Layout Optimization of Urban Public Sports Services under the Background of Deep Learning

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