Analysis and application of self-organizing sensory mapping
Z.-P. Lo, M. Fujita, Behnam Bavarian · 2002
The authors present a mathematical analysis of self-organizing sensory mapping which was first proposed by Kohonen. It is shown that using the sensory mapping learning rule is equivalent to minimizing an energy function of the network outlined. The underlying work of Kohonen and the topology preserving networks are reviewed, along with the algorithm for implementing the network. The concept of the energy of a network is defined and a detailed analysis of the mapping algorithm is outlined.>