Collaboration of growing self-organizing maps (GSOM) and adaptive resonance theory maps (ART) is considered through traveling sales-person problems (TSP).The ART is used to parallelize the GSOM: it divides the input space of city positions into subspaces automatically. One GSOM is allocated to each subspace and grows following the input data. After all the GSOMs grow sufficiently they are conne...

The Seismic Research Centre, University of the West Indies operates a seismic network that performs suboptimally in detecting, locating, and correctly determining the magnitude of earthquakes due to a diverse constituion of seismometers and the utilization of a site selection process that approximates an educated guess. My work seeks to apply Self-Organizing Maps (SOM) to arrive at the optimal ...

A Hierarchical Extended Kohonen Map (HEKM) learns to associate actions to perceptions under the supervision of a planner: they cooperate to solve path nding problems. We argue for the utility of using the hierarchical version of the KM instead of the \ at" KM. We measure the bene ts of cooperative learning due to the interaction of neighboring neurons in the HEKM. We highlight a bene cial side-...

Many theoretical papers are published about the Kohonen algorithm. It is not easy to understand what is exactly proved, because of the great variety of mathematical methods. Despite all these eeorts, many problems remain without solution. In this small review paper, we intend to sum up the situation.

Abstract : the aim of this paper is to observe the group dynamic of funds’ managers during an interesting period : January 99July 01, which includes many financial events as financial cracks, high speculation on new technologies. We define a strategy as the sensitivity on French stock market indexes. We project strategies on a Kohonen Map. We propose a new approach to analyze the group dynamic ...