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The Exploration of Interactive Landscape Design Based on Artificial Intelligence

Published: 29 December 2018 Publication History

Abstract

The birth of artificial makes landscape information measurement, storage and analysis be more accurate and efficient. Meanwhile, it also creates the new manifestation mode for landscape designers to reappear perception experience landscape which greatly liberates designers' brain to return the design to the creation. The development of artificial intelligent technology brings the new opportunities to landscape design. From the perspective of the intelligent lighting technology in the artificial intelligence technology, the paper explores the influence and application of the artificial intelligence to landscape design.

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  1. The Exploration of Interactive Landscape Design Based on Artificial Intelligence

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    ISBDAI '18: Proceedings of the International Symposium on Big Data and Artificial Intelligence
    December 2018
    365 pages
    ISBN:9781450365703
    DOI:10.1145/3305275
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 29 December 2018

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    Author Tags

    1. Artificial Intelligence
    2. Landscape Design
    3. Lighting Technology

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    • Short-paper
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    • Refereed limited

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    ISBDAI '18

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    ISBDAI '18 Paper Acceptance Rate 70 of 340 submissions, 21%;
    Overall Acceptance Rate 70 of 340 submissions, 21%

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