How do the networks learn? The short-term knowledge in artificial neural networks (ANN) is stored in the states of neurons and their connections correspond to the long-term knowledge. In this connection, learning means the adaptation of weights or adding or removing connections between neurons. This divides networks to static and dynamic neural networks. In static
Authors & references
Professor Emeritus Kauko Leiviskä, University of Oulu
Based on: Leiviskä, K., Methods (Chapter 3). In: Leiviskä, K. (ed), Process and Maintenance Management, (Book 14), Papermaking Science and Technology. 2nd edition. Jyväskylä, 2009, Paper Engineer’s Association/Paperi ja Puu Oy. pp. 28–71.
Wells, G. 1995. An introduction to neural networks. In: Boullart, L., Krijgsman, A., Vingerhoeds, R.A. (eds.): Applications of Artificial Intelligence in Process Control. Pergamon Press, New York.
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