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Journal of Automation Mobile Robotics and Intelligent Systems
EN The accurate contral of CNC machine axis requires relatively expensive direct measurement sensors. In this paper, artificial neural network based position error estimators are comparatively evaluated as a part of a low-cost (but high performance) manufacturing system. Such schemes are very effective[...]
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Przemysł Chemiczny
2006 T. 85, nr 8-9 1175-1177
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Advances in Science and Technology Research Journal
EN Neural networks’ synchronization by mutual learning discovered and described by Kanter et al. [12] can be used to construct relatively secure cryptographic key exchange protocol in the open channel. This phenomenon based on simple mathematical operations, can be performed fast on a computer. The lat[...]
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Computational Methods in Science and Technology
EN The article presents use of PNN to identify ship’s radio stations. Two methods of PNN acceleration are included. The first one is a combination of PNN and Kohonen neural network. The task of Kohonen neural network is to roughly classify radio station. The final identification is performed by PNN. Th[...]
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Computational Methods in Science and Technology
EN The article presents the application of artificial intelligence techniques and data received from navigational radar i.e. information about distances to observed set of buoys to positioning on shore areas.
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Eksploatacja i Niezawodność
2001 nr 5 15-17
PL Zadanie identyfikacji polega na dokonaniu matematycznego opisu modelu systemu dynamicznego na podstawie serii pomiarów. Motywacją do podjęcia takich działań może być, między innymi, predykcja zachowania się systemu, wykrywania uszkodzeń lub projektowanie układu sterowania. W artykule zwrócono szczeg[...]
EN System identification is the task of inferring a mathematical description a model of a dynamical system from series of measurements. Can be several motives of so actions, typical: prediction behaviors of system, detect of damage, design of control system. In this paper the attention is drawn to iden[...]
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Bio-Algorithms and Med-Systems
2015 Vol. 11, no. 3 135--144
EN Neural networks become very popular as a tool for modeling of numerous systems, including technological, economical, sociological, psychological, and even political ones. On the contrary, neural networks are models of neural structures and neural processes observed in a real brain. However, for mode[...]
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Advances in Science and Technology Research Journal
2015 Vol. 9, nr 26 137–-142
EN It is well-known that artificial neural networks have the ability to learn based on the provisions of new data. A special case of the so-called supervised learning is a mutual learning of two neural networks. This type of learning applied to a specific networks called Tree Parity Machines (abbreviat[...]
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Polish Maritime Research
2008 nr 2 15-21
EN This paper presents an attempt to applying neural networks for assessment of parameters of standard manoeuvrability tests, i.e. circulation test and zig-zag test. Methodological approach to application of neural networks as well as applied network structures and neuron activation functions are gener[...]
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Journal of Telecommunications and Information Technology
2012 nr 1 90-95
EN The e-learning course is one of the most efficient and promising didactic policies. It must be grounded on the revision because it was proved that it enhances the longterm memory. However, human mind is not a uniform phenomenon. Each man memorizes and learns in a different manner. The purpose of the[...]
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Journal of Telecommunications and Information Technology
2009 nr 3 95-102
EN The paper describes results of introductory research focused on possibility to use location data available in a mobile network for the analysis of transport system status and efficiency. The details of a system capable of detecting abnormal traffic situation (accidents, heavy congestion) are describ[...]
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Control and Cybernetics
EN The advent of modern low-cost monitoring and wireless transmission systems results in unprecedented availability of measurement data potentially available in near real-time mode. In particular, some of the remote meter reading systems can be used to collect data on an hourly or even sub-hourly basis[...]
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Metrology and Measurement Systems
2013 Vol. 20, nr 3 491--500
EN In the paper a method using active thermography and a neural algorithm for material defect characterization is presented. Experimental investigations are conducted with the stepped heating method, so-called time-resolved infrared radiometry, for the test specimen made of a material with low thermal [...]
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Archives of Acoustics
EN The aim of the paper is to determine how quality of a singing voice can be recognized automatically. For this purpose, a database of singing voice sounds with samples of voices of trained and untrained singers was created and is presented. The methods of a singing voice parameterization are shortly [...]
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Journal of Automation Mobile Robotics and Intelligent Systems
EN This paper describes a modular neural network (MNN) with fuzzy integration for the problem of signature recognition. Currently, biometric identification has gained a great deal of research interest within the pattern recognition community. For instance, many attempts have been made in order to autom[...]
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Polish Hyperbaric Research
2008 Nr 1(22) 7-14
PL Modelowanie ruchu bezzałogowych pojazdów podwodnych może być efektywnie realizowane z użyciem sieci neuronowych zdolnych do zilustrowania tego procesu. W tym artykule przedstawiono sposób budowania sieci neuronowych oraz proces ich nauczania. Wszystkie eksperymenty przeprowadzono na WTM/PS na pojeźd[...]
EN Modeling of the move of unmanned underwater vehicles can effectively be realized with use of neural networks capable to illustrate the modeled process. In this paper a method of a construction of neural networks and a learning process is presented. All experiments were carried out at the Faculty of [...]
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Journal of Automation Mobile Robotics and Intelligent Systems
EN This paper is concerned with a computationally efficient (suboptimal) non-linear Model Predictive Control (MPC) algorithm based on two types of neural models: Multilayer Perceptron (MLP) and Radial Basis Function (RBF) structures. The model takes into account not only controlled but also the uncontr[...]
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Journal of Automation Mobile Robotics and Intelligent Systems
EN This paper proposed an I/Q imbalance compensation algorithm based on neural networks, suitable for low-IF receivers. First, the low-IF receiver architecture and the phenomena of I/Q imbalance (also referred as image interference) are described. The standard solution - using a complex LMS adaptive fi[...]
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Bio-Algorithms and Med-Systems
EN The research concerns designing computer methods of a non-invasive diagnosis of selected larynx diseases. The proposed approach is based on a signal analysis in the time domain. Two diseases are considered: Reinke's edema and laryngeal polyp. The paper presents a medical background, basic problems, [...]
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Prace Naukowe Instytutu Maszyn, Napędów i Pomiarów Elektrycznych Politechniki Wrocławskiej. Studia i Materiały
EN In the work issues related to modeling of the biological-chemical wastewater treatment plant are presented. A commonly-used control strategy including model predictive control of the wastewater treatment plant are presented. Then a model of biological and chemical transformations AMS1 is described a[...]
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