**5. Conclusion**

This chapter proposes the parameter for adjustment of the Gaussian symmetric neighborhood function. Our parameter adjusting method can reduce both *QE* and *TE* of the feature map. However, the value of parameter must be determined individually for each specific dataset. The improved Gaussian function is better than the original Gaussian function and some other neighborhood functions like Bubble function, asymmetric neighborhood function.

**Author details**

Halong University, Vietnam

\*Address all correspondence to: anhtucntt@gmail.com

provided the original work is properly cited.

© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium,

*Improving Feature Map Quality of SOM Based on Adjusting the Neighborhood Function*

*DOI: http://dx.doi.org/10.5772/intechopen.89233*

Le Anh Tu

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*Improving Feature Map Quality of SOM Based on Adjusting the Neighborhood Function DOI: http://dx.doi.org/10.5772/intechopen.89233*
