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Advanced Materials > 35 > 15 > n/a - n/a
Neurobiological circuits containing synapses can process signals while learning concurrently in real time. Before an artificial neural network (ANN) can execute a signal‐processing program, it must first be programmed by humans or trained with respect to a large and defined data set during learning processes, resulting in significant latency, high power consumption, and poor adaptability to unpredictable...
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Neural Processing Letters > 2019 > 50 > 1 > 839-849
Corpus analysis is one of the most powerful methods in text mining, data discovery, and finding relationships among documents. In linguistics, a corpus (plural corpora) is a large and structured set of texts which should to be classified by artificial intelligence systems. The performance of conventional text classifiers on corpora is usually unsatisfying. In this paper, a novel text classifier for...
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Monitoring metal removal in machining processes has proved to be essential for companies seeking a high level of excellence in the quality of their products and processes, contributing to improved resource allocation and reduced wastage due to nonconforming parts. Multisensory approaches have been employed to monitor these processes, aiming to use signals to train artificial intelligence systems to...
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This paper presents possibilities of implementation of advanced combustion control concepts in selected Western Balkan thermal power plant, and particularly those based on artificial intelligence as part of primary measures for nitrogen oxide reduction in order to optimise combustion and to increase plant efficiency. Both considered goals comply with environmental quality standards prescribed in large...
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The following topics are dealt with: computer education; computer aided instruction; network university; network curriculum; computer network education; distance learning; education information technology; educational technique standard; computation thought and computer method study; school teachers educational technique ability training; teaching resources' design, development and applications; college...
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Przegląd Elektrotechniczny > 2010 > R. 86, nr 2 > 24-29
Ewolucja oraz uczenie się są dwoma głównymi procesami rozpatrywanymi w ramach badań nad systemami sztucznej inteligencji. Jest od dawna znanym faktem, że proces uczenia może prowadzić do przyspieszenia bądź spowolnienia przebiegu zmian ewolucyjnych, jednak wciąż brak jest solidnej teorii opisującej w sposób ilościowy rozważane zjawiska. Pewne rezultaty zostały uzyskane jedynie w przypadku monotonicznej...
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The paper is concerned in human grid computing for artificial intelligence systems. In general, grid computing enables to process a huge amounts of data in any fields, however, grid systems for Shogi, or Japanese chess, need to process astronomical combinations of positions. It is described that the proposed system is effective in reduction of computational complexity with collaboration from human...
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Dempster-Shafer evidence theory (D-S theory) provides a useful computational scheme for integrating uncertainty information from multiple sources in artificial intelligence systems. D-S evidence theory is a useful method for dealing with uncertainty problems. Therefore, it has been successfully applied in data fusion and pattern recognition. However, it also has some shortcomings. The key problem...
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The provision of embedding neural networks into software applications can enable variety of artificial intelligence systems for individual users as well as organizations. Previously, software implementation of neural networks remained limited to only simulations or application specific solutions. Tightly coupled solutions end up in monolithic systems and non reusable programming efforts. We adapt...
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Pieniądze i Więź > 2007 > 10 > 3(36) > 121-134
This paper concerns the systems of artificial intelligence because the interest in them is still growing. Neural nets, fuzzy systems and genetic algorithms are successfully used in very different areas like economy, medicine, technology and geology. Those first can be used in all the cases involving prediction, classification and controlling. The fuzzy systems allow problems solving by the differential,...
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A definition and structure of intelligence is suggested based on research results in neurophysiology, psychology, and system theory. Intelligence is defined as the ability to solve problems using space and time resources. The problem solving behavior depends on experience, innovation, solution fusion, and learning mechanisms. Suggestions for implementing these proposed components are provided and...
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The purpose of this paper is to present preliminary evidence that data mining and artificial intelligence systems may allow one to recognize the presence and severity of motor fluctuations in patients with Parkinson's disease (PD). We hypothesize that movement disorders in late-stage PD present with identifiable and predictable features that can be derived from accelerometer (ACC) and surface electromyographic...
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