In this paper we deal with the problem of designing preemptive patrolling itineraries at sea. As a case study we use real data provided by the Portuguese Navy, concerning search and rescue missions. This can be seen as a curve fitting problem in which we aim at predicting future occurrences based on previous reported ones. We propose a method for the design of itineraries based on the use of a ...

The basic SOM is indi erent to the ordering of the input patterns. Real data, however, is often sequential in nature thus context of a pattern may signi cantly in uence its correct interpretation. One simple SOM model that takes the context of a pattern into account is the Temporal K ohonen Map (TKM),which was modi ed into the Recurrent Self Organizing Map (RSOM). We sho w analytically and with...

A technique for segmentation of images of baked good is presented. The technique employs a Self-Organising Map to identify the characteristic colour development curve (bake curve) for each product. Segmentation is based upon the colour information contained in the bake curve. The technique is trained with only positive exemplars of the product.

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 ...