WenJun Zhang QuHuan Li School of Life Sciences, Sun Yat-sen University, Guangzhou, China International Academy of Ecology and Environmental Sciences, Hong Kong Selforganizology ISSN 2***-**** http://www.iaees.org/publications/journals/selforganizology/online-version.asp 2014 1 1 8 15 International Academy of Ecology and Environmental Sciences Hong Kong 16 March 2014 10 April 2014 1 June 2014 self-organizing map (SOM) neural network topological functions Matlab cluster analysis invertebrates In present study we used self-organizing map (SOM) neural network to conduct the non-supervisory clustering of invertebrate orders in rice field. Four topological functions, i.e., cossintopf, sincostopf, acossintopf, and expsintopf, established on the template in toolbox of Matlab, were used in SOM neural network learning. Results showed that clusters were different when using different topological functions because different topological functions will generate different spatial structure of neurons in neural network. We may chose these functions and results based on comparison with the practical situation. DOI 10.0000/issn-2***-****-selforganizology-2014-v1-0002 http://www.iaees.org/publications/journals/selforganizology/articles/2014-1(1)/self-organizing-map-neural-network-with-some-special-topological- functions.pdf