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    LandSys II: Agent-Based Land Use–Forecast Model with Artificial Neural Networks and Multiagent Model

    Source: Journal of Urban Planning and Development:;2015:;Volume ( 141 ):;issue: 004
    Author:
    Liyuan Zhao
    ,
    Zhong-Ren Peng
    DOI: 10.1061/(ASCE)UP.1943-5444.0000255
    Publisher: American Society of Civil Engineers
    Abstract: This paper extends the previous LandSys I to introduce artificial neural networks (ANNs) into the framework of cellular automata (CA), multiagents, and geographic information system (GIS) to forecast land-use change at the grid cell level (
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      LandSys II: Agent-Based Land Use–Forecast Model with Artificial Neural Networks and Multiagent Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/75241
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    • Journal of Urban Planning and Development

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    contributor authorLiyuan Zhao
    contributor authorZhong-Ren Peng
    date accessioned2017-05-08T22:15:12Z
    date available2017-05-08T22:15:12Z
    date copyrightDecember 2015
    date issued2015
    identifier other40000786.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/75241
    description abstractThis paper extends the previous LandSys I to introduce artificial neural networks (ANNs) into the framework of cellular automata (CA), multiagents, and geographic information system (GIS) to forecast land-use change at the grid cell level (
    publisherAmerican Society of Civil Engineers
    titleLandSys II: Agent-Based Land Use–Forecast Model with Artificial Neural Networks and Multiagent Model
    typeJournal Paper
    journal volume141
    journal issue4
    journal titleJournal of Urban Planning and Development
    identifier doi10.1061/(ASCE)UP.1943-5444.0000255
    treeJournal of Urban Planning and Development:;2015:;Volume ( 141 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian