Recursive self-organizing maps Export

@misc{citeulike:378118, abstract = {A temporal extension of the Self-Organizing Map (SOM) is presented. The learning algorithm is based on self-reference, and is called Recursive SOM. This network learns local representations of the temporal context associated with a time series, and extends classical properties of SOM to time.}, author = {Voegtlin, T.}, citeulike-article-id = {378118}, citeulike-linkout-0 = {http://citeseer.ist.psu.edu/voegtlin02recursive.html}, citeulike-linkout-1 = {http://citeseer.lcs.mit.edu/voegtlin02recursive.html}, citeulike-linkout-2 = {http://citeseer.ifi.unizh.ch/voegtlin02recursive.html}, citeulike-linkout-3 = {http://citeseer.comp.nus.edu.sg/voegtlin02recursive.html}, keywords = {algorithmes, de, neurones, rcursivit, rseaux, som}, posted-at = {2006-07-19 15:27:52}, priority = {2}, title = {Recursive self-organizing maps}, url = {http://citeseer.ist.psu.edu/voegtlin02recursive.html}, year = {2002} }

TY - GEN ID - citeulike:378118 L3 - citeulike-article-id:378118 N2 - A temporal extension of the Self-Organizing Map (SOM) is presented. The learning algorithm is based on self-reference, and is called Recursive SOM. This network learns local representations of the temporal context associated with a time series, and extends classical properties of SOM to time. TI - Recursive self-organizing maps KW - algorithmes KW - de KW - neurones KW - rcursivit KW - rseaux KW - som AU - Voegtlin, T PY - 2002/// UR - http://citeseer.ist.psu.edu/voegtlin02recursive.html ER -