This paper presents how Self-Organizing Maps and especially Kohonen maps can be applied to digital images of ancient collections in the perspective of valorization and diffusion. As an illustration, a scheme of transparency reduction of the digitized Gutenberg Bible is presented. In this two steps method, the Kohonen map is trained to generate a set of test vectors that will train in a supervis...

An initialization mechanism is presented for Kohonen neural network implemented in CMOS technology. Proper selection of initial values of neurons’ weights has a large influence on speed of the learning algorithm and finally on the quantization error of the network, which for different initial parameters can vary even by several orders of magnitude. Experiments with the software model of designe...

Tattersal et al. have described an attempt to use the Kohonen algorithm for locating a hypothetical two-dimensional speech space in a space of filter-bank values. The existence of this space is moot and its dimension is more moot, and the Kohonen algorithm itself does not yield any information on the intrinsic dimension of the set to which it converges. There is therefore some interest in tryin...

This is the first study to use self-organisation (Kohonen) map technique, an artificial neural network based on a non-supervised learning algorithm, categorise Vietnamese banks into super-class groups. Drawing unbalanced yearly data from 2008 2017, this identifies two groups (one and two). While group one consists of joint stock banks, commercial state banks. Using non-structural indicator, Ler...

A new approach to data stream clustering with the help of an ensemble of adaptive neuro-fuzzy systems is proposed. The proposed ensemble is formed with adaptive neuro-fuzzy self-organizing Kohonen maps in a parallel processing mode. Their learning procedure is carried out with different parameters that define a nature of cluster borders’ blurriness. Clusters’ quality is estimated in an online m...