Integration of system process information obtained through an image processing system with an evolving knowledge database to improve the accuracy and predictability of wear particle analysis is the main focus of the paper. The objective is to automate intelligently the analysis process of wear particle using classification via self organizing maps. This is achieved using relationship measuremen...

Integration of system process information obtained through an image processing system with an evolving knowledge database to improve the accuracy and predictability of wear debris analysis is the main focus of the paper. The objective is to automate intelligently the analysis process of wear particle using classification via self-organizing maps. This is achieved using relationship measurements...

We present a method for calculating phase diagrams for the high dimensional variant of the Self Organizing Map SOM The method requires only an ansatz for the tesselation of the data space induced by the map not for the explicit state of the map Using this method we analyze two recently proposed models for the development of orientation and ocular dominance column maps The phase transition condi...

This paper presents an innovative, adaptive variant of Kohonen’s selforganizing maps called ASOM, which is an unsupervised clustering method that adaptively decides on the best architecture for the self-organizing map. Like the traditional SOMs, this clustering technique also provides useful information about the relationship between the resulting clusters. Applications of the resulting softwar...

In this paper we propose a new architecture for speaker recognition. This architecture is independent of the text, robust with the presence of noise, and is based on the Self Organizing Maps (SOM) [I]. We compare the performance of this architectue for different parameuizations, different signal to noise ratios, with another method for speaker identification based on the arithmetic-harmonic sph...

Lexicon is a central component in any language processing system, whether human or artificial. Recent empirical evidence suggests that a multilingual lexicon consists of a single component representing word meanings, and separate component for the symbols in each language. These components can be modeled as self-organizing maps, with associative connections between them implementing comprehensi...

We report investigations into speaker classification of larger quantities of unlabelled speech data using small sets of manually phonemically annotated speech. The Kohonen speech typewriter [1] is a semi-supervised method comprised of selforganising maps (SOMs) that achieves low phoneme error rates. A SOM is a 2D array of cells that learn vector representations of the data based on neighbourhoo...

A novel approach to gait pattern classification is presented. Based on data collected from patients at an rehabilitation centre we achieve a clustering according to various gait malfunctions by using self-organizing maps. The major benefit of such an approach is that the learning process ends up with a classification of gait malfunctions without the need of the tremendous effort to define a bio...

Research laboratories are increasingly coming under pressure to evaluate the economic impact of their research. After the multiplication of technology discrimination devices bound to foster the innovative efforts in firms, public policy makers are seeking to evaluate the impact of these means on the economy. Existing evaluation indicators are poorly equipped to grasp the very characteristics of...