This paper presents a view{based approach to map learning and navigation in mazes. By means of graph theory we have shown that the view{graph is a suucient representation for map behaviour such as path planning. A neural network for unsupervised learning of the view{graph from sequences of views is constructed. We use a modiied Kohonen (1988) learning rule that transforms temporal sequence (rat...

Automated road information extraction enables the ready creation, maintenance, and update of the transportation network databases used for traffic management and automated vehicle navigation. This paper presents a semi-automatic method for road network extraction from high-resolution satellite images. First, we focus on detecting the seed points in candidate road regions using a Kohonen-type se...

Many neural models have been suggested for the development of feature maps in cortical areas. Undoubtedly the most popular model is the Kohonen self-organizing map (SOM). Once the map has been learned, this network uses a competitive winner-take-all (WTA) approach to choose a singlèbest' output neuron on a (typically) 2D grid for each presented input pattern. Cortical maps in biological organis...

The increasing complexity of the artificial implementations of biological systems, such as the so-called electronic noses (e-noses) and tongues (e-tongues), poses issues in sensory feature extraction and fusion, drift compensation and pattern recognition, especially when high reliability is required. In particular, in order to achieve effective results, the pattern recognition system must be ca...

A self-organizing network according to a modiied Kohonen algorithm was used for the identiication of 272 Events of pp-bremsstrahlung in a pp-scattering experiment at the SATURNE accelerator at T beam =1.0 GeV. 1. Identiication of the pp-bremsstrahlung One of the experimental goals being pursued by means of the TOF-spectrometer 1] at the COSY accelerator at the Forschungszentrum J ulich is the m...

ClasSOMfier is a software package to classify atoms into given number of disconnected groups (or clusters) and detect lattice defects, such as vacancies, interstitials, dislocations, voids grain boundaries. Each cluster formed by whose atomic environment can be described common pattern. Unlike many methods available in the literature, where these patterns are advance associated with known struc...

An intelligent system for monitoring the microgravity environment quality on-board the International Space Station is presented. The monitoring system uses a new approach combining Kohonen 's self-organizing feature map, learning vector quantization and back propagation neural network to recognize and classify the known and unknown patterns. Finally, fuzzy logic is used to assess the level of c...

The purpose of this paper is to present the fundamental algorithms and procedures by which processes of clustering and classification of elements, assembly units and parts of installed product devices are carried out in the system of computer-aided design of modular technology of assembly. There will also be presented a basic tool that has been used for classification of structural modules the ...