Abstract
The urban world of the 21st century is composed of numerous nodes, streams and webs, which create a new landscape of globalization and impose different logic of space and time perception. Therefore, the urban infrastructure is updated and its networks are continuously multiplied. A method known as urban acupuncture on the one hand tests the local effects of every project, and on the other hand establishes a network of points or dots to act upon. The main objective of this paper is to relate the concept of urban acupuncture with the use of a neural network algorithm to determine those points where developing actions in order to improve the quality life in cities. We apply the neural network model GNG3D to the design of a simplified network in a real city of our surrounding.
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Tortosa, L., Vicent, J.F., Zamora, A., Oliver, J.L. (2010). A Neural Network Model to Develop Urban Acupuncture. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15387-7_7
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DOI: https://doi.org/10.1007/978-3-642-15387-7_7
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