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Self-Organizing MultiLayer Perceptron

IEEE Transactions on Neural Networks, 2010
In this paper, we propose an extension of a self-organizing map called self-organizing multilayer perceptron (SOMLP) whose purpose is to achieve quantization of spaces of functions. Based on the use of multilayer perceptron networks, SOMLP comprises the unsupervised as well as supervised learning algorithms.
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Self-organizing processes

1994
Self-organizing feature maps are presented as an effcient tool for mapping process graphs onto processor networks. Arbitrary process graphs can be mapped to most of the common parallel architectures (two-dimensional lattice, three-dimensinal torus, hypercube, etc.). Two extensions of the Kohonen algorithm for self-organizing feature maps were necessary.
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Empirical evidence of self‐organization?

Journal of the American Society for Information Science and Technology, 2002
AbstractIn a recent paper in this journal, Loet Leydesdorff and Gaston Heimeriks (2001, Journal of the American Society for Information Science and Technology, 52, 1262–1294.) argue that biotechnology develops in a self‐organizational mode, through interaction between the intellectual structure and the institutional network of the research field.
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Dendron-Mediated Self-Assembly, Disassembly, and Self-Organization of Complex Systems

Chemical Reviews, 2009
Virgil Percec   +2 more
exaly  

Self-Organization in Coordination-Driven Self-Assembly

Accounts of Chemical Research, 2009
Peter J. Stang   +2 more
exaly  

A Survey of Self-Organization Mechanisms in Multiagent Systems

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017
Associate Professor   +2 more
exaly  

Self-Organization in Pattern Formation

Developmental Cell, 2019
Francis Corson, François Schweisguth
exaly  

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