The self-organizing map (SOM) network was originally designed for solving problems that involve tasks such as clustering, visualization, and abstraction. While Kohonen’s SOM networks have been successfully applied as a classi6cation tool to various problem domains, their potential as a robust substitute for clustering and visualization analysis remains relatively unresearched. We believe the in...

the purpose of the present study was to compare writing high achievers and low achievers tefl (teaching english as foreign language) learners’ writing self-beliefs. subjects, based on their officially recorded scores on the writing course, were assigned in two 22-member groups of high and low achievers. the adapted english version of mills’ and péron’s (2008) questionnaire and the foreign langu...

employee empowerment is a new approach of internal motivation of job means to free internal energy of employee and also provides opportunities for them to actualize their talent, abilities and competencies. current research implemented within models of votten and kamron that implicate multi-dimensions of empowerment have four dimensions of feeling competent, feeling being meaningful, self-deter...

The phoneme recognition aims to process a speech signal, characterized by a non-linearity with very high dynamics, allowing to perform various tasks on an information processing machine by an operator using orally address. This paper focuses on a proposed strategy, which implements an evolutionary recurrent self organizing map (SOM) model in phonemes recognition to improve their rates. It is a ...

Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming larger and larger, it is vital that the algorithms perform efficient for huge data sets. Here we propose a parallelization of patch neural gas which requires only a single run over the data set and which can work with ...