Erkki Oja
Finnish computer scientist / From Wikipedia, the free encyclopedia
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Erkki Oja (born 22 March 1948) is a Finnish computer scientist and Aalto Distinguished Professor in the Department of Information and Computer Science at Aalto University School of Science.[1] He is recognized for developing Oja's rule,[2] which is a model of how neurons in the brain or in artificial neural networks learn over time.
Quick Facts Born, Alma mater ...
Erkki Oja | |
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Born | (1948-03-22) 22 March 1948 (age 76) |
Alma mater | Helsinki University of Technology |
Known for | Oja's rule |
Awards | Member of the Finnish Academy of Science and Letters (1992) Fellow, International Association for Pattern Recognition (1994) Fellow, IEEE (2000) Knight of the White Rose of Finland (2006) IEEE Computational Intelligence Society Neural Network Pioneer Award (2006) Fellow, International Neural Network Society (2008) |
Scientific career | |
Fields | Machine learning Artificial neural networks |
Institutions | Brown University Academy of Finland University of Kuopio Lappeenranta University of Technology Aalto University |
Thesis | Studies of the Convergence Properties of Adaptive Orthogonalizing Filters (1977) |
Doctoral advisor | Teuvo Kohonen |
Doctoral students | Aapo Hyvärinen |
Website | users |
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