In this paper we present our research on developing a vision-based gesture recognition system. This system has three abstract layers each with their own specific type and requirements of data which enable us to implement them as separate components. The first layer is the skin detection layer. One of our contributions to the research is an adaptive skin detection algorithm that forms the core o...

review and classification of electric load forecasting (lf) techniques based on artificial neuralnetworks (ann) is presented. a basic anns architectures used in lf reviewed. a wide range of annoriented applications for forecasting are given in the literature. these are classified into five groups:(1) anns in short-term lf, (2) anns in mid-term lf, (3) anns in long-term lf, (4) hybrid anns inlf,...

| In the present paper, a new synthesis approach is developed for associative memories based on the perceptron training algorithm. The design (synthesis) problem of feedback neural networks for associative memories is formulated as a set of linear inequalities such that the use of perceptron training is evident. The perceptron training in the synthesis algorithms is guaranteed to converge for t...

The process of segmenting images is one of the most critical ones in automatic image analysis whose goal can be regarded as to find what objects are presented in images. Artificial neural networks have been well developed. First two generations of neural networks have a lot of successful applications. Spiking Neuron Networks (SNNs) are often referred to as the 3 generation of neural networks wh...

The task of re-identifying groups people underdifferent camera views is an important yet less-studied problem.Group re-identification (Re-ID) a very challenging sinceit not only adversely affected by common issues in traditionalsingle object Re-ID problems such as viewpoint and human posevariations, but it also suffers from changes group layout andgroup membership. In this paper, we propose nov...

The relevance of scientific work lies in the need to improve existing software designed analyze compliance results testing ofthe stated requirements. For implementation this goal, neural networks can be used by quality control specialists make decisions aboutsoftware quality, or project managers as an expert system, for one indicators customer. article deals with testingwhich is a process valid...

Farinograph is the most frequently used equipment for empirical rheological measurements of dough. It’suseful to illustrate quality of flour, behavior of dough during mechanical handling and texturalcharacteristics of finished products. The percentage of water absorption and the development time of doughare the most important parameters of farinography for bakery industries during production. H...

in this paper, a smart method is designed in order to classify healthy and illness ducks using their emission voice. for this purpose, firstly, the birds based on their healthy condition are divided into the different categories and then their voices are saved using a microphone and data acquisition card. gained signals were transformed from time-domain signal to frequency domain using fast fou...

Text collections may be regarded as an almost perfect application arena for unsupervised neural networks. This because many operations computers have to perform on text documents are classiication tasks based on noisy patterns. In particular we rely on self-organizing maps which produce a map of the document space after their training process. From geography, however, it is known that maps are ...