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    薛月菊,胡月明,杨敬锋,陈其昌. 基于概率神经网络的广东省土地资源评价[J]. 华南农业大学学报, 2006, 27(3): 108-110. DOI: 10.7671/j.issn.1001-411X.2006.03.030
    引用本文: 薛月菊,胡月明,杨敬锋,陈其昌. 基于概率神经网络的广东省土地资源评价[J]. 华南农业大学学报, 2006, 27(3): 108-110. DOI: 10.7671/j.issn.1001-411X.2006.03.030
    shu
    XUE Yue-ju,HU Yue-ming,YANG Jing-feng,CHEN Qi-chang. Guangdong Province Land Resource Evaluation Based on Probabilistic Neural Networks[J]. Journal of South China Agricultural University, 2006, 27(3): 108-110. DOI: 10.7671/j.issn.1001-411X.2006.03.030
    Citation: XUE Yue-ju,HU Yue-ming,YANG Jing-feng,CHEN Qi-chang. Guangdong Province Land Resource Evaluation Based on Probabilistic Neural Networks[J]. Journal of South China Agricultural University, 2006, 27(3): 108-110. DOI: 10.7671/j.issn.1001-411X.2006.03.030
    shu

    基于概率神经网络的广东省土地资源评价

    Guangdong Province Land Resource Evaluation Based on Probabilistic Neural Networks

      摘要
    • 摘要: 用概率神经网络的方法，以广东省土地资源为对象进行了土地资源评价的研究，并与BP网络的评价结果作了比较,结果表明，用概率神经网络进行评价的结果比BP网络的评价结果更加准确，更加切合实际情况，一定程度上避免了人为因素的干扰，提高了土地资源评价的准确性．

       

      Abstract: A method of probabilistic neural network(PNN) was used to evaluate Guangdong Province land resource.The obtained results of PNN were compared with those of BP neural networks(BPNN),indicating that the PNN method is more accurate than the BPNN,with less influence of human factors and improved validity.

       

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