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artificial neural networks in environmental sciences and chemical engineering; application of artificial neural networks in the development;
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the application of artificial neural networks for modelling of water and wastewater treatment processes.;
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This book presents a broad overview on the current various design modules and applications of artificial neural systems. Artificial neural;
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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 a;
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applications. The first half of the book looks at theoretical investigations on artificial neural networks and addresses the key architectures that are;
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functional reorganization. Section 2 focuses on the application of artificial neural networks in forecasting and prediction, describing: sales;
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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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This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At;
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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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development efforts. The application of machine learning algorithm i.e. artificial neural networks application in software reliability prediction;
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In recent years, complex-valued neural networks have widened the scope of application in optoelectronics, imaging, remote sensing, quantum;
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This volume presents examples of how Artificial Neural Networks (ANNs) are applied in biological sciences and related areas. Chapters cover;
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An artificial neural network (ANN) is a type of artificial intelligence technology which implements more complex data-analysis features;
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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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The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence;
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This tutorial text provides the reader with an understanding of artificial neural networks (ANNs), and their application, beginning with;
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of neural network paradigms, however, the newest of these have not appeared in book form-until now. Recent Advances in Artificial Neural Networks;
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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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Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence;
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This current book provides new research on artificial neural networks (ANNs). Topics discussed include the application of ANNs in chemistry;
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The potential value of artificial neural networks (ANN) as a predictor of malignancy has begun to receive increased recognition. Research;
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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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. The book also covers applications of the improved artificial neural networks to solve classification, clustering, prediction and regression;
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sine cosine algorithm. The book also covers applications of the improved artificial neural networks to solve classification, clustering;
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This excellent reference for all those involved in neural networks research and application presents, in a single text, the necessary;
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