This paper describes an improvement of the self-organizing feature map (SOFM) obtained with the Kohonen neu-ral network. The ameliorations are dedicated to its usage in computer graphics and mainly in animation of particle-based systems. We show its application in the context of the visualization of molecular dynamics systems. Finally, we compare this solution with other works based on particle...

In this study, a Fuzzy Kohonen Clustering Network (FKCN) algorithm is proposed for color image segmentation. We study the ability of FKCN in color image segmentation; we compare the segmentation between a different color images. Experiments show that the proposed method can segment an image and robust performance to noise.

This second part of a Tutorial on neural networks focuses on the Kohonen self-organising feature map and the Hopfield network. First a theoretical description of each type is given. The practical issues concerning applications of the networks are then discussed. For each network, a description is given of the types of problems which can be tackled by the specific neural network, followed by a p...

In this paper, a new neural network (NN) for fault diagnosis of rotating machinery which synthesises the theory of adaptive resonance theory (ART) and the learning strategy of Kohonen neural network (KNN), is proposed. For NNs, as the new case occurs, the corresponding data should be added to their dataset for learning. However, the ‘off-line’ NNs are unable to adapt autonomously and must be re...

Abstract This study focuses on the determination of chemical profile 24 non-aged Brazilian artisanal sugarcane spirits ( cachaça ) samples through chromatographic quantification and chemometric treatment via principal component analysis (PCA) Kohonen’s neural network. In total, forty-seven (47) compounds were identified in , addition to determining alcohol content, volatile acidity, copper. For...

The behaviour of the TCP AIMD algorithm is known to cause queue length oscillations when congestion occurs at a router output link. Indeed, due to these queueing variations, end-to-end applications experience large delay jitter. Many studies have proposed efficient Active Queue Management (AQM) mechanisms in order to reduce queue oscillations and stabilize the queue length. These AQM attempt to...

This paper presents a new approach for integrating case-based reasoning (CBR) with an ART-Kohonen neural network (ART-KNN) to enhance fault diagnosis. When solving a new problem, the neural network is used to make hypotheses and to guide the CBR module in the search for a similar previous case that supports one of the hypotheses. The knowledge acquired by the network is interpreted and mapped i...

In this paper the construction of developable NURBS surface for a set of tangent planes is presented. The problem is handled by the concept of duality of projective spaces. Using a special distance function a curve modelling is solved by a Kohonen neural network approach.

In this paper, the idea of creating a system to analyze and improve quality of 2D images is presented. Proposed model operates on self-organizing Kohonen network. For this purpose, the method of image processing and preparation of vectors representing the components of the image are described. Tests on various images were made and presented.

This paper presents a simple modification of classic Kohonen network (SOM), which allows parallel processing of input data vectors or partitioning the problem in case of insufficient memory for all vectors from the training set. The algorithm pre-selects potential centroids of data clusters and uses them as weight vectors in the final SOM network. We have demonstrated the usage of this algorith...