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ICNC
2005
Springer
14 years 3 months ago
On Non-markovian Topographic Organization of Receptive Fields in Recursive Self-organizing Map
Abstract. Recently, there has been an outburst of interest in extending topographic maps of vectorial data to more general data structures, such as sequences or trees. The represen...
Peter Tiño, Igor Farkas
JCP
2008
121views more  JCP 2008»
13 years 10 months ago
Relation Organization of SOM Initial Map by Improved Node Exchange
The Self Organizing Map (SOM) involves neural networks, that learns the features of input data thorough unsupervised, competitive neighborhood learning. In the SOM learning algorit...
Tsutomu Miyoshi
DATAMINE
2010
120views more  DATAMINE 2010»
13 years 10 months ago
A weighted voting summarization of SOM ensembles
Abstract Weighted Voting Superposition (WeVoS) is a novel summarization algorithm for the results of an ensemble of Self-Organizing Maps. Its principal aim is to achieve the lowest...
Bruno Baruque, Emilio Corchado

Book
803views
15 years 8 months ago
Introduction to Neural Networks for Java
This book covers several topics such as: overview of neural networks, matrix operations in Java, Hopfield Neural Network, machine learning, feedforward backpropagation, Simulated a...
Jeff Heaton
ICANN
2005
Springer
14 years 3 months ago
SOM of SOMs: Self-organizing Map Which Maps a Group of Self-organizing Maps
This paper aims to propose an extension of SOMs called an “SOM of SOMs,” or SOM¾ , in which the mapped objects are self-organizing maps themselves. In SOM¾ , each nodal unit ...
Tetsuo Furukawa