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...

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...

-In this work, we use Potts neurons for the competitive mechanism in a self-organization model. We obtain new algorithms on the basis of a Potts neural network for coherent mapping, and we remodel the Durbin algorithm and the Kohonen algorithm with mean field annealing. The resulting dimension-reducing mappings possess a highly reliable topology preservation such that the nearby elements in the...

The era of big data has come. Today, all kinds information and are showing explosive growth. Internet activities different scales struggling to catch up with the pace development "big data. This paper uses time series mining algorithms, Microsoft's tools model sets collected from halls, so as discover user's online behaviour patterns potential rules within a certain period time. we made reasona...

A significant increase in computer performance, the accumulation of a large amount data necessary for training deep neural networks, development methods networks that allow you to quickly and efficiently train consisting hundred or more layers, has led progress networks. This allowed take leading position among machine learning methods. In this work, network paradigms (and their functioning) co...

The present study uses the Kohonen self organizing map (SOM) to represent the popularity patterns of Myspace music artists from their attributes on the platform and their position in the social network. The method is applied to cluster the profiles (the nodes of the social network) and the best friendship links (the edges). It shows that the SOM is an efficient tool to interpret the complex lin...

This paper presents an approach to the well-known Traveling Salesman Problem (TSP) via competitive neural networks. The neural network model adopted in this work is the Kohonen Network or Self-Organizing Maps (SOM), which has important topological information about its neurons configuration. This paper is concerned with the initialization aspects, parameters adaptation, and the complexity analy...

Clustering a power system is very useful for the purpose of voltage stability control. However, the methods have developed usually have computational inefficiency. This paper presents a new cluster bus technique using Kohonen neural network for the purpose of forming bus clusters in power systems from the voltage stability viewpoint. This cluster formation will simplify voltage control in power...