In order to define a new model of Tunisian foot sizes and for building the most comfortable shoes, Tunisian industrialists must be able to offer for their customers products able to put on and adjust the majority of the target population concerned. Moreover, the use of models of shoes, mainly from others country, causes a mismatch between the foot and comfort of the Tunisian shoes. But every fo...

Kohonen self-organizing feature maps are unsupervised learning neural networks that categorize or classify data. Efficient hardware implementation of such neural networks requires the definition of a certain number of simplifications to the original algorithm. In particular, multiplications should be avoided by means of simplifications in the distance metric, the neighborhood function and the l...

The availability of linguistic corpora in electronic form has made it possible to make various kinds of computer-based analyses on them. The use of Self-Organizing Map (SOM) in the analysis and visualization of various aspects of textual material is outlined. The basic approach for creating maps of lexical items, documents, or set of languages or dialects is described with reference to original...

1&2 Department of Electronics and Communication 1&2 Punjabi University 1&2 Rajpura Road, Patiala 1&2 INDIA Abstract:Noisy Electrocardiogram (ECG) signal can mask some of the important features of the original ECG signal. Therefore, it is necessary to remove the noise for proper analysis of the ECG signal. In this paper, the use of Kohonen Neural Network (KNN) for automatically identifying the c...

This paper is devoted to the problem of creating and updating a B-spline surface based on a set of scattered data, i.e. totally unorganized points locally distributed over a 3D area. The crucial point of the problem is the parametrization of the given points, where earlier approaches introduced a base surface and the spatial points were mapped onto this surface to gain parameter values. The bas...

A processor can leak information by different ways. Although, the possibility of attacking smart cards by analyzing their power consumption [Kocher] or their electromagnetic radiations is now commonly accepted [Gandolfi]. A lot of publications recognize the possibility to recover the signature of an instruction in a side channel trace. It seems that no article demonstrate how to automate revers...

Automatic disorder recognition in speech can be very helpful for the therapist while monitoring therapy progress of the patients with disordered speech. In this article we focus on prolongations. We analyze the signal using Continuous Wavelet Transform with 18 bark scales, we divide the result into vectors (using windowing) and then we pass such vectors into Kohonen network. Quite large search ...

Abstract— This study derives a new interpretation for Fuzzy Kohonen Neural Network in parameter m .Derivation of new algorithm is accomplished by adaptive m. The learning rate in each iteration is effected by updating m ascending or descending .This yields automatic control to distribution of learning rate in the neighborhood of all data nodes at each iteration .This experiment evaluates the mo...

Exploratory data mining using artificial neural networks offers an alternative dimension to data mining, in particular techniques geared towards data clustering and classification. In this paper, we argue the case for using neural networks as a viable data mining tool that can provide statistical insights and models from large data-sets. We demonstrate how Self-Organizing Kohonen Maps, an unsup...