Abstract
SOM achieves a probability density distribution approximation of input vectors using weight vectors. Binary SOM in which each element of the input vectors and the weight vectors is represented by ``binary'' integer is same to the SOM with respect to the approximation. In this paper, we propose a new updating equation of the binary weight vectors based on significance of binary input vectors. In the proposed updating equation, the binary weight vectors with low significance factors are adjusted to the binary input vectors with high significance factors. This updating equation achieves a probability density distribution approximation of the significant binary input vectors. The modified Binary SOM employing the proposed updating equation is applied to GA as a reproduction operator in order to maintain a genetic diversity of population.
