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In this book some applications of artificial neural network in nuclear engineering are presented. In densitometry, number of scattered and;
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This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include;
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As artificial neural networks have been gaining importance in the field of engineering, this compilation aims to review the scientific;
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processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy;
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processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy;
Vergelijkbare producten zoals Artificial Neural Network Applications in Business and Engineering
biomedicine based on current theory and applications of neural networks, artificial intelligence, and other methods for the development of decision;
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understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be;
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understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be;
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conventional techniques of fault analysis. The authors provide insight into artificial neural networks and their applications, with illustrations, for;
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This book provides a starting point for software professionals to apply artificial neural networks for software reliability prediction;
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Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box;
Vergelijkbare producten zoals Emerging Capabilities and Applications of Artificial Higher Order Neural Networks
Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box;
Vergelijkbare producten zoals Emerging Capabilities and Applications of Artificial Higher Order Neural Networks
finite element method and an artificial neural network Determination of mechanical properties of biological tissues Tactile sensing;
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Artificial neural networks are graphical structures whose initial purpose was to emulate the human brain. They were introduced in 1943 by;
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Deep Neural Networks and Applications makes the readers aware about the various artificial neural networks (ANN) and the topologies related;
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This volume is part of the two-volume proceedings of the 19th International Conf- ence on Artificial Neural Networks (ICANN 2009), which;
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This book is an exploration of an artificial neural network. It has been created to suit even the complete beginners to artificial neural;
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constructing confidence and prediction intervals Ideal as a textbook for MBA and graduate-level courses in applied neural network modeling, artificial;
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Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex;
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network applications, the book demonstrates the construction and operation of artificial neural systems. Through numerous examples, the author;
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* Provides up-to-date coverage of neural network paradigms and applications* Presents the work of internationally renowned experts;
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This text on evolutionary computation presents an account of neural network and evolutionary programming applications as optimization;
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The basic notion of artificial neural networks (ANNs), as we understand them today, was perhaps first formalized by McCulloch and Pitts (1943;
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Develop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second;
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of prediction performance based on real network traffic; network security; a modified artificial neural network based approach to add new data in a;
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reviewed and selected from a total of 113 qualified submissions. The papers present resent research on such topics as neural network theory, and;
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Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence;
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