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of pharamceutical microemulsions; massive-training artificial neural networks for supervised enhancement/suppression of lesions/patterns in medical images;
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biomedicine based on current theory and applications of neural networks, artificial intelligence, and other methods for the development of decision;
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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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Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that;
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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;
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literature regarding the use of artificial neural networks for the modelling and optimization of food drying processes. The applications;
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International Neural Networks Society (INNS). Artificial Intelligence (AI) has been following a unique course, characterized by alternating growth;
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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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Deep Neural Networks and Applications makes the readers aware about the various artificial neural networks (ANN) and the topologies related;
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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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Intelligent Engineering Systems Through Artificial Neural Networks is een boek van American Society of Mechanical Engineers,U.S.;
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deficient. Applications of Artificial Neural Networks for Nonlinear Data is a collection of innovative research on the contemporary nature;
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course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers;
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This book is designed to identify some of the current applications and techniques of artificial intelligence as an aid to solving problems;
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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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equations, and these methods are presented in Artificial Neural Networks for Engineers and Scientists: Solving Ordinary Differential Equations. This;
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Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box;
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Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box;
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in chromatography and spectroscopy; heterogeneous neural networks and tuning differential evolution for artificial neural networks.;
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artificial neural networks, this book is ideally designed for engineers, academicians, researchers, practitioners, and students seeking current;
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artificial neural networks, this book is ideally designed for engineers, academicians, researchers, practitioners, and students seeking current;
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. The back-propagation algorithm, which is used for training artificial neural networks, is discussed. The book also guides you through the;
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Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a;
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Artificial neural networks provide a powerful tool to help doctors analyse, model and make sense of complex clinical data across a broad;
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Artificial neural networks provide a powerful tool to help doctors analyse, model and make sense of complex clinical data across a broad;
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machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic;
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