Teuvo Kohonen

Who is Teuvo Kohonen?

Teuvo Kohonen is a prominent Finnish academician and 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. 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. 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.