information systems

• An Endogenous Human Resources Selection Model Based On Linguistic Assessments

This paper proposes an endogenous human resources selection process by using linguistic information from a competency management perspective. We consider different sets of appraisers taking part in the evaluation process, having a different knowledge about the candidates that are being evaluated. Then, appraisers can express their assessments in different linguistic domains according to their knowledge. The proposed method converts each linguistic label into a fuzzy set on a common domain. Candidates are ranked by using different aggregation operators in order to allow the management team to make a final decision.

• Neural Network World; International Journal on Neural and Mass - Parallel Computing and Information Systems
• Band 20 Nr. 1, Januar 2010

• Editorial

Dear Readers, This is the first issue of the 20i/l volume of our Journal. As a rule, 20 years represent a cause for celebration. However, I have to ap...

• Neural Network World; International Journal on Neural and Mass - Parallel Computing and Information Systems
• Band 20 Nr. 1, Januar 2010

• Clustering Quality and Topology Preservation in Fast Learning Soms

The Self-Organizing Map (SOM) is a popular unsupervised neural network able to provide effective clustering and data visualization for data represented in multidimensional input spaces. In this paper, we describe Fast Learning SOM (FLSOM) which adopts a learning algorithm that improves the performance of the standard SOM with respect to the convergence time in the training phase. We show that FLSOM also improves the quality of the map by providing better clustering quality and topology preservation of multidimensional input data. Several tests have been carried out on different multidimensional datasets, which demonstrate better performances of the algorithm in comparison with the original SOM.

• Neural Network World; International Journal on Neural and Mass - Parallel Computing and Information Systems
• Band 19 Nr. 5, September 2009

• The Floating Water Bridge Under Strong Electric Potential

Fuchs and collaborators [1, 2] showed that when a high voltage is applied between two electrodes, immersed in two beakers containing twice distilled water, a water bridge between the two containers is formed. We observed that a copper ions flow can pass through the bridge if the negative electrode is a copper electrode. The direction of the flux is not only depending on the direction of the applied electrostatic field but on the relative electronegativity of the electrodes too. The fact seems to suggest new perspectives in understanding the structure of water and the mechanisms concerning the arising of ions fluxes in living matter.

• Neural Network World; International Journal on Neural and Mass - Parallel Computing and Information Systems
• Band 19 Nr. 4, Juli 2009

• Mitochondrial Dysfunction

Cell-mediated immunity (CMI) response of healthy humans and cancer (Ca) patients to specific tumor antigen and nonspecific (LDV - lactate dehydrogenase virus) antigen, and of acute myocardial infarction (AMI) and schizophrenia (Sch) patients to nonspecific antigen was investigated. Large differences of CMI response of healthy humans in comparison with Ca, AMI, Sch patients were found. CMI response to antigens displays transferred information about cells under immune surveillance. LDV disturbs the oxidative energy production system. We assume that CMI response to LDV antigen monitors pathological states of mitochondrial energy production which results in disturbances of electromagnetic activity of living cells.

• Neural Network World; International Journal on Neural and Mass - Parallel Computing and Information Systems
• Band 19 Nr. 4, Juli 2009

• Finding the Path Centre of a Communications Network

The centre of a communications network is a vertex set. The distances between every vertex in the centre set and all other vertices of the network are minimal. In some cases, the centre of the network can be a path, which includes a desired number of vertices. This centre is called a path centre of the network. In this paper, we aim to find a path centre of a given network with the needed number of vertices. We give the distance measures of the network and represent an algorithm searching the path centre of the network.

• Neural Network World; International Journal on Neural and Mass - Parallel Computing and Information Systems
• Band 19 Nr. 6, November 2009

• A Probabilistic Prediction Method for Object Contour Tracking

We present an approach for probabilistic contour prediction within the framework of an object tracking system. We combine level-set methods for image segmentation with optical flow estimations based on probability distribution functions (pdfs) calculated at each image position. Unlike most recent level-set methods that consider exclusively the sign of the level-set function to determine an object and its background, we introduce a novel interpretation of the value of the level-set function that reflects the confidence in the contour. To this end, in a sequence of consecutive images, the contour of an object is transformed according to the optical flow estimation and used as the initial object hypothesis in the following image. The values of the initial level-set function are set accordi...

• Neural Network World; International Journal on Neural and Mass - Parallel Computing and Information Systems
• Band 19 Nr. 5, September 2009

• Neural Networks Training by Artificial Bee Colony Algorithm On Pattern Classification

Artificial Neural Networks are commonly used in pattern classification, function approximation, optimization, pattern matching, machine learning and associative memories. They are currently being an alternative to traditional statistical methods for mining data sets in order to classify data. Artificial Neural Networks are well-established technology for solving prediction and classification problems, using training and testing data to build a model. However, the success of the networks is highly dependent on the performance of the training process and hence the training algorithm. In this paper, we applied the Artificial Bee Colony (ABC) Optimization Algorithm on training feed-forward neural networks to classify different data sets which are widely used in the machine learning communit...

• Neural Network World; International Journal on Neural and Mass - Parallel Computing and Information Systems
• Band 19 Nr. 3, Mai 2009

• Selective Attention Model of Moving Objects

Tracking moving objects is a vital visual task for the survival of an animal. We describe oscillatory neural network models of visual attention with a central element that can track a moving target among a set of distracters on the screen. At the initial stage, the model forms the focus of attention on an arbitrary object that is considered as a target. Other objects are treated as distracters. We present here two models: 1) synchronisation based model designed as a network of phase oscillators and 2) spiking neural model which is based on the idea of resource-limited parallel visual pointers. Selective attention and the tracking process are represented by the partial synchronisation between the central unit and a subgroup of peripheral elements. Simulation results are in overall agreem...

• Neural Network World; International Journal on Neural and Mass - Parallel Computing and Information Systems
• Band 19 Nr. 5, September 2009

• A contingency theory of internationalization performance for emerging market multinational enterprises.

...In fact, Pangarkar (2008) points to information scarcity and limited managerial expertise and comp...." Rational natural, and open systems. Englewood Cliffs: Prentice-Hall. . Scott, A. J., ...

• Management International Review
• Band 51 Nr. 5, September 2011