The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kami mencadangkan algoritma pembelajaran untuk mengatur sendiri rangkaian saraf untuk membentuk peta pemeliharaan topologi daripada manifold input yang topologinya mungkin berubah secara dinamik. Keputusan eksperimen menunjukkan bahawa rangkaian yang menggunakan algoritma yang dicadangkan boleh menyesuaikan dirinya dengan pantas untuk mewakili topologi taburan input tidak pegun.
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Salinan
Taira NAKAJIMA, Hiroyuki TAKIZAWA, Hiroaki KOBAYASHI, Tadao NAKAMURA, "A Topology Preserving Neural Network for Nonstationary Distributions" in IEICE TRANSACTIONS on Information,
vol. E82-D, no. 7, pp. 1131-1135, July 1999, doi: .
Abstract: We propose a learning algorithm for self-organizing neural networks to form a topology preserving map from an input manifold whose topology may dynamically change. Experimental results show that the network using the proposed algorithm can rapidly adjust itself to represent the topology of nonstationary input distributions.
URL: https://global.ieice.org/en_transactions/information/10.1587/e82-d_7_1131/_p
Salinan
@ARTICLE{e82-d_7_1131,
author={Taira NAKAJIMA, Hiroyuki TAKIZAWA, Hiroaki KOBAYASHI, Tadao NAKAMURA, },
journal={IEICE TRANSACTIONS on Information},
title={A Topology Preserving Neural Network for Nonstationary Distributions},
year={1999},
volume={E82-D},
number={7},
pages={1131-1135},
abstract={We propose a learning algorithm for self-organizing neural networks to form a topology preserving map from an input manifold whose topology may dynamically change. Experimental results show that the network using the proposed algorithm can rapidly adjust itself to represent the topology of nonstationary input distributions.},
keywords={},
doi={},
ISSN={},
month={July},}
Salinan
TY - JOUR
TI - A Topology Preserving Neural Network for Nonstationary Distributions
T2 - IEICE TRANSACTIONS on Information
SP - 1131
EP - 1135
AU - Taira NAKAJIMA
AU - Hiroyuki TAKIZAWA
AU - Hiroaki KOBAYASHI
AU - Tadao NAKAMURA
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E82-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 1999
AB - We propose a learning algorithm for self-organizing neural networks to form a topology preserving map from an input manifold whose topology may dynamically change. Experimental results show that the network using the proposed algorithm can rapidly adjust itself to represent the topology of nonstationary input distributions.
ER -