LEARNING (Competitive) 2)5)
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In parallel processing networks, "an unsupervised learning procedure in which the network is presented with a series of input patterns and must discover regularities in those patterns that can be used to divide them into clusters of similar patterns" (Adapted from W. BECHTEL & A. ABRAHAMSEN, 1991, p.304)
The authors add that input patterns are selected through "inhibitory connections among the detector units to assure that just one unit will "win" the competition for a particular input pattern" (p.305).
In this way, inputs become classified in categories.
"In more complex systems there may be multiple nets of detector units, or intermediate layers of units" (p. 305)
Interesting heuristic analogies can be drawn with the ways human brains are learning.
Categories
- 1) General information
- 2) Methodology or model
- 3) Epistemology, ontology and semantics
- 4) Human sciences
- 5) Discipline oriented
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Bertalanffy Center for the Study of Systems Science(2020).
To cite this page, please use the following information:
Bertalanffy Center for the Study of Systems Science (2020). Title of the entry. In Charles François (Ed.), International Encyclopedia of Systems and Cybernetics (2). Retrieved from www.systemspedia.org/[full/url]
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