A Sequential Algorithm for Training the SOM Prototypes Based on Higher-Order Recursive Equations

المؤلفون المشاركون

Raugi, Marco
Tucci, Mauro

المصدر

Advances in Artificial Neural Systems

العدد

المجلد 2010، العدد 2010 (31 ديسمبر/كانون الأول 2010)، ص ص. 1-10، 10ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2011-01-19

دولة النشر

مصر

عدد الصفحات

10

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

A novel training algorithm is proposed for the formation of Self-Organizing Maps (SOM).

In the proposed model, the weights are updated incrementally by using a higher-order difference equation, which implements a low-pass digital filter.

It is possible to improve selected features of the self-organization process with respect to the basic SOM by suitably designing the filter.

Moreover, from this model, new visualization tools can be derived for cluster visualization and for monitoring the quality of the map.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Tucci, Mauro& Raugi, Marco. 2011. A Sequential Algorithm for Training the SOM Prototypes Based on Higher-Order Recursive Equations. Advances in Artificial Neural Systems،Vol. 2010, no. 2010, pp.1-10.
https://search.emarefa.net/detail/BIM-449113

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Tucci, Mauro& Raugi, Marco. A Sequential Algorithm for Training the SOM Prototypes Based on Higher-Order Recursive Equations. Advances in Artificial Neural Systems No. 2010 (2010), pp.1-10.
https://search.emarefa.net/detail/BIM-449113

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Tucci, Mauro& Raugi, Marco. A Sequential Algorithm for Training the SOM Prototypes Based on Higher-Order Recursive Equations. Advances in Artificial Neural Systems. 2011. Vol. 2010, no. 2010, pp.1-10.
https://search.emarefa.net/detail/BIM-449113

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-449113