We use a one-dimensional Kohonen network for detecting the angular position of an infrared beacon in front of an experimental autonomous vehicle. The inputs to the Kohonen network are the analog output signals from eight infrared detectors arranged along a semicircle on the front of the vehicle. By letting the network self-organise while a beacon is moved from one side to the other in front of ...

Neural networks have been applied to various pattern classification and recognition problems for their learning ability, discrimination power, and generalization ability. The neural network most referenced in the pattern recognition literature are the multi-layer perceptron, the Kohonen associative memory and the Capenter-Grossberg ART network. The Kohonen memory runs an unsupervised clustering...

This paper deals with design of optimal structure of Kohonen Self-organizing maps for cluster analysis applications. The cluster analysis represents a group of methods whose aim is to classify the objects into clusters. There have been many new algorithms solving cluster analysis applications, which used neural networks. This paper deals with the use of advanced methods of neural networks repre...

NETWORK FOR VOLUMETRIC MEASURMENTS ON BRAIN CT IMAGING Mohamed N. Ahmed, and Aly A. Farag Computer Vision and Image Processing Lab University of Louisville, Department of Electrical Engineering Louisville, KY 40292 E-mail:[email protected], Phone:(502)-852-7510, Fax:(502)852-6807 Abstract|In this paper, we present a new system to segment and label CT Brain slices using a self-organ...