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http://hdl.handle.net/10397/5394
Title: | Formation and dynamics of modules in a dual-tasking multilayer feed-forward neural network | Authors: | Lam, CH Shin, FG |
Issue Date: | Sep-1998 | Source: | Physical review. E, Statistical, nonlinear, and soft matter physics, Sept. 1998, v. 58, no. 3, p. 3673-3677 | Abstract: | We study a feed-forward neural network for two independent function approximation tasks. Upon training, two modules are automatically formed in the hidden layers, each handling one of the tasks predominantly. We demonstrate that the sizes of the modules can be dynamically driven by varying the complexities of the tasks. The network serves as a simple example of an artificial neural network with an adaptable modular structure. This study was motivated by related dynamical nature of modules in animal brains. | Keywords: | Brain models Feedforward neural nets Function approximation Subroutines |
Publisher: | American Physical Society | Journal: | Physical review. E, Statistical, nonlinear, and soft matter physics | ISSN: | 1539-3755 | EISSN: | 1550-2376 | DOI: | 10.1103/PhysRevE.58.3673 | Rights: | Physical Review E © 1998 The American Physical Society. The Journal's web site is located at http://pre.aps.org/ |
Appears in Collections: | Journal/Magazine Article |
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