Teuvo Kohonen
Encyclopedia
Teuvo Kohonen, Dr. Ing is a Finnish
academician
and prominent researcher. He is currently professor emeritus of the Academy of Finland
.
Prof. Kohonen has made many contributions to the field of artificial neural networks, including the Learning Vector Quantization
algorithm, fundamental theories of distributed associative memory
and optimal associative mappings, the learning subspace method and novel algorithms for symbol processing like redundant hash addressing. He has published several books and over 300 peer-reviewed papers.
His most famous contribution is the Self-Organizing Map
(also known as the Kohonen map or Kohonen artificial neural networks, although Kohonen himself prefers SOM). Due to the popularity of the SOM algorithm in many research and in practical applications, Kohonen is often considered to be the most cited Finnish scientist. The current version of the SOM bibliography contains close to 8000 entries.
Most of his career, Prof. Kohonen conducted research at Helsinki University of Technology
(TKK). The Neural Networks Research Centre of TKK, a center of excellence appointed by Academy of Finland was originally founded to conduct research related to Teuvo Kohonen's innovations. After Kohonen's retirement, the center has been led by Prof. Erkki Oja
and later renamed to Adaptive Informatics Research Centre with widened foci of research.
Teuvo Kohonen was elected the First Vice President of the International Association for Pattern Recognition for the period 1982-84, and acted as the first President of the European Neural Network Society
during 1991-92.
For his scientific achievements, Prof. Kohonen has received a number of prizes including the following:
Finland
Finland , officially the Republic of Finland, is a Nordic country situated in the Fennoscandian region of Northern Europe. It is bordered by Sweden in the west, Norway in the north and Russia in the east, while Estonia lies to its south across the Gulf of Finland.Around 5.4 million people reside...
academician
Academician
The title Academician denotes a Full Member of an art, literary, or scientific academy.In many countries, it is an honorary title. There also exists a lower-rank title, variously translated Corresponding Member or Associate Member, .-Eastern Europe and China:"Academician" may also be a functional...
and prominent researcher. He is currently professor emeritus of the Academy of Finland
Academy of Finland
The Academy of Finland is a governmental funding body for scientific research in Finland. It is based in the Finnish capital, Helsinki. Yearly, the Academy administers over 260 million euros to Finnish research activities. Over 5,000 researchers are working on the projects supported by the academy...
.
Prof. Kohonen has made many contributions to the field of artificial neural networks, including the Learning Vector Quantization
LVQ
In Computer Science, Learning Vector Quantization , is a prototype-based supervised classification algorithm. LVQ is the supervised counterpart of vector quantization systems.- Overview :...
algorithm, fundamental theories of distributed associative memory
Content-addressable memory
Content-addressable memory is a special type of computer memory used in certain very high speed searching applications. It is also known as associative memory, associative storage, or associative array, although the last term is more often used for a programming data structure...
and optimal associative mappings, the learning subspace method and novel algorithms for symbol processing like redundant hash addressing. He has published several books and over 300 peer-reviewed papers.
His most famous contribution is the Self-Organizing Map
Self-organizing map
A self-organizing map or self-organizing feature map is a type of artificial neural network that is trained using unsupervised learning to produce a low-dimensional , discretized representation of the input space of the training samples, called a map...
(also known as the Kohonen map or Kohonen artificial neural networks, although Kohonen himself prefers SOM). Due to the popularity of the SOM algorithm in many research and in practical applications, Kohonen is often considered to be the most cited Finnish scientist. The current version of the SOM bibliography contains close to 8000 entries.
Most of his career, Prof. Kohonen conducted research at Helsinki University of Technology
Helsinki University of Technology
Aalto University School of Science and Technology , was the temporary name for Helsinki University of Technology during the process of forming the Aalto University...
(TKK). The Neural Networks Research Centre of TKK, a center of excellence appointed by Academy of Finland was originally founded to conduct research related to Teuvo Kohonen's innovations. After Kohonen's retirement, the center has been led by Prof. Erkki Oja
Erkki Oja
Erkki Oja is a Finnish computer scientist. He is a professor at the Department of Information and Computer Science at Aalto University School of Science and Technology, the director of the Adaptive Informatics Research Centre and chairman of the Academy of Finland's Research Council for Natural...
and later renamed to Adaptive Informatics Research Centre with widened foci of research.
Teuvo Kohonen was elected the First Vice President of the International Association for Pattern Recognition for the period 1982-84, and acted as the first President of the European Neural Network Society
European Neural Network Society
The European Neural Network Society is an association of scientists, engineers, students, and others seeking to learn about and advance understanding of artificial neural networks...
during 1991-92.
For his scientific achievements, Prof. Kohonen has received a number of prizes including the following:
- IEEE Neural Networks Council Pioneer Award, 1991
- Technical Achievement Award of the IEEE Signal Processing Society, 1995
- Frank Rosenblatt Technical Field Award, 2008
External links
- http://www.cis.hut.fi/teuvo/
- http://www.cis.hut.fi/research/som-bibl/