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Titlebook: Engineering Applications of Neural Networks; 14th International C Lazaros Iliadis,Harris Papadopoulos,Chrisina Jayne Conference proceedings

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书目名称Engineering Applications of Neural Networks
副标题14th International C
编辑Lazaros Iliadis,Harris Papadopoulos,Chrisina Jayne
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Engineering Applications of Neural Networks; 14th International C Lazaros Iliadis,Harris Papadopoulos,Chrisina Jayne Conference proceedings
描述The two volumes set, CCIS 383 and 384, constitutes the refereed proceedings of the 14th International Conference on Engineering Applications of Neural Networks, EANN 2013, held on Halkidiki, Greece, in September 2013. The 91 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers describe the applications of artificial neural networks and other soft computing approaches to various fields such as pattern recognition-predictors, soft computing applications, medical applications of AI, fuzzy inference, evolutionary algorithms, classification, learning and data mining, control techniques-aspects of AI evolution, image and video analysis, classification, pattern recognition, social media and community based governance, medical applications of AI-bioinformatics and learning.
出版日期Conference proceedings 2013
关键词affective computing; fuzzy neural network; particle swarm optimization; super-turing machines; wearable
版次1
doihttps://doi.org/10.1007/978-3-642-41013-0
isbn_softcover978-3-642-41012-3
isbn_ebook978-3-642-41013-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE
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MPEG-4 Internet Traffic Estimation Using Recurrent CGPANNblem. From simple online video streaming to the sophisticated communication network underlying a Smart Grid, efficient management of bandwidth is always desired. One way to achieve such efficiency lies in the science of predication: an intelligent system can be deployed that can estimate the sizes o
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Neural Network Simulation of Photosynthetic Productione delay. The optimal control problem is transcribed into nonlinear programming problem which is implemented with adaptive critic neural network. The proposed simulation methods is illustrated by the optimal control problem of photosynthetic production described by discrete time delay differential eq
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Thinking Machines versus Thinking Organisms super-Turing machines that implement them. Using these results, in this paper, at mathematical level of rigor, the phenomena of life and thinking are defined and perspectives of their artificial reproduction are considered. It is demonstrated that machines built of inorganic raw materials can never
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Prediction of Foreign Currency Exchange Rates Using CGPANN exchange rates. The end product of our work is an efficient Artificial Neural Network (ANN) based prediction model that forecasts the foreign currency exchange rates, making use of the trends in historical data. These trends in the historical currency data serve as significant prognostic factor to
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