METHOD AND APPARATUS FOR LOCATION EVALUATION AND SITE SELECTION
    1.
    发明申请
    METHOD AND APPARATUS FOR LOCATION EVALUATION AND SITE SELECTION 有权
    用于位置评估和选址的方法和装置

    公开(公告)号:US20090234782A1

    公开(公告)日:2009-09-17

    申请号:US12046256

    申请日:2008-03-11

    IPC分类号: G06F15/18 G06N5/00

    CPC分类号: G06N99/005

    摘要: Method, apparatus and system for location evaluation and site selection, capable of effectively configuring the site network and evaluating the facility location by scientifically modeling and incorporating human knowledge are provided. In one aspect, geographic and demographic data associated with a plurality of locations and human knowledge comprising partial rating knowledge and pair-wise preference knowledge are used in a regression algorithm to construct a location evaluation model. The regression algorithm is further refined using active learning that identifies a plurality of pairs of locations to improve precision of the regression algorithm.

    摘要翻译: 提供了位置评估和场地选择的方法,装置和系统,能够通过科学建模和整合人类知识来有效地配置现场网络和评估设施位置。 在一个方面,在回归算法中使用与多个位置相关联的地理和人口统计数据以及包括部分评估知识和成对偏好知识的人类知识来构建位置评估模型。 使用主动学习进一步改进回归算法,该学习识别多对位置以提高回归算法的精度。

    Method and apparatus for location evaluation and site selection
    2.
    发明授权
    Method and apparatus for location evaluation and site selection 有权
    用于位置评估和选址的方法和装置

    公开(公告)号:US08117138B2

    公开(公告)日:2012-02-14

    申请号:US12046256

    申请日:2008-03-11

    IPC分类号: G06F15/18 G06N3/08

    CPC分类号: G06N99/005

    摘要: Method, apparatus and system for location evaluation and site selection, capable of effectively configuring the site network and evaluating the facility location by scientifically modeling and incorporating human knowledge are provided. In one aspect, geographic and demographic data associated with a plurality of locations and human knowledge comprising partial rating knowledge and pair-wise preference knowledge are used in a regression algorithm to construct a location evaluation model. The regression algorithm is further refined using active learning that identifies a plurality of pairs of locations to improve precision of the regression algorithm.

    摘要翻译: 提供了位置评估和场地选择的方法,装置和系统,能够通过科学建模和整合人类知识来有效地配置现场网络和评估设施位置。 在一个方面,在回归算法中使用与多个位置相关联的地理和人口统计数据以及包括部分评估知识和成对偏好知识的人类知识来构建位置评估模型。 使用主动学习进一步改进回归算法,该学习识别多对位置以提高回归算法的精度。