Guangdong Province Land Resource Evaluation Based on Probabilistic Neural Networks

doi:10.7671/j.issn.1001-411X.2006.03.030

Home > Archive>Volume 27, Issue 3, 2006 >108-110. DOI:10.7671/j.issn.1001-411X.2006.03.030

Guangdong Province Land Resource Evaluation Based on Probabilistic Neural Networks
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                        10.7671/j.issn.1001-411X.2006.03.030
                    
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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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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

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Received:March 02,2005
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