The paper describes the model, implementation and experimental evaluation of a distributed Kohonen Neural Network application (Kohonen Application). The aim of this research is to empirically verify the suitability and the performance of a distributed application based on mobile objects and, in perspective, intelligent agents. This research is aims to provide distribution features in decision s...

Résumé. En apprentissage supervisé, la prédiction de la classe est le but ultime. Plus largement, on attend d'une bonne méthodologie d'apprentissage qu'elle permette une représentation des données susceptible de faciliter la navigation de l'utilisateur dans la base d'exemples et d'aider au choix des exemples et des variables pertinents tout en assurant une prédiction de qualité dont on comprenn...

This paper analyses the results obtained when different topologies of 1-Dimensional Kohonen Networks where used to classify color pictures taken to Popocatépetl Volcano (located in the State of Puebla, México, active and monitored since 1997). Due to the fact that volcano images needed to be correlated with other experiments in the research center where this was carried out, it was required to ...

Automatic disorders recognition in speech can be very helpful for a therapist while monitoring therapy progress of patients with disordered speech. This article is focused on sound repetitions. The signal is analyzed using Continuous Wavelet Transform with 16 bark scales. Using the silence finding algorithm, only speech fragments are automatically found and cut. Each cut fragment is converted i...

Edge linking is a fundamental computer-vision task, yet presents difficulties arising from the lack of information in the image. Viewed as a constrained optimisation problem, it is NP hard – being isomorphic to the classical travelling salesman problem. Self-learning neural techniques boast the ability to solve hard, ill-defined problems and, hence, offer promise for such an application. This p...

Recent advances in ’off-line’ writer identification allow for new applications in handwritten text retrieval from archives of scanned historical documents. This paper describes new algorithms for forensic or historical writer identification, using the contours of fragmented connected-components in free-style handwriting. The writer is considered to be characterized by a stochastic pattern gener...

This study proposes an innovative measure for evaluating the performance of text clustering. In using K-means algorithm and Kohonen Networks for text clustering, the number clusters is fixed initially by configuring it as their parameter, while in using single pass algorithm for text clustering, the number of clusters is not predictable. Using labeled documents, the result of text clustering us...

This article is an extended version of a paper presented in the WSOM’2012 conference [1]. We display a combination of factorial projections, SOM algorithm and graph techniques applied to a text mining problem. The corpus contains 8 medieval manuscripts which were used to teach arithmetic techniques to merchants. Among the techniques for Data Analysis, those used for Lexicometry (such as Factori...

Analysis of patterns of temporal variation in community dynamics was conducted by combining two unsupervised artificial neural networks, the Adaptive Resonance Theory (ART) and the Kohonen network. The field data used as input for training represented monthly changes in density and species richness in selected taxa of benthic macroinvertebrates collected in the Suyong River in Korea from Septem...

Image segmentation plays a crucial role in many medical imaging applications and is an important but inherently difficult problem. This paper discusses the method that classifies unsupervised image using a Kohonen self-organizing map neural network. This method has two problems: training time of the network is too long and the classified result and quantity are much easily influenced by the noi...