Neural Networks for Applied Sciences and Engineering PDF
By:Sandhya Samarasinghe
Published on 2016-04-19 by CRC Press
In response to the exponentially increasing need to analyze vast amounts of data, Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition provides scientists with a simple but systematic introduction to neural networks. Beginning with an introductory discussion on the role of neural networks in scientific data analysis, this book provides a solid foundation of basic neural network concepts. It contains an overview of neural network architectures for practical data analysis followed by extensive step-by-step coverage on linear networks, as well as, multi-layer perceptron for nonlinear prediction and classification explaining all stages of processing and model development illustrated through practical examples and case studies. Later chapters present an extensive coverage on Self Organizing Maps for nonlinear data clustering, recurrent networks for linear nonlinear time series forecasting, and other network types suitable for scientific data analysis. With an easy to understand format using extensive graphical illustrations and multidisciplinary scientific context, this book fills the gap in the market for neural networks for multi-dimensional scientific data, and relates neural networks to statistics. Features § Explains neural networks in a multi-disciplinary context § Uses extensive graphical illustrations to explain complex mathematical concepts for quick and easy understanding ? Examines in-depth neural networks for linear and nonlinear prediction, classification, clustering and forecasting § Illustrates all stages of model development and interpretation of results, including data preprocessing, data dimensionality reduction, input selection, model development and validation, model uncertainty assessment, sensitivity analyses on inputs, errors and model parameters Sandhya Samarasinghe obtained her MSc in Mechanical Engineering from Lumumba University in Russia and an MS and PhD in Engineering from Virginia Tech, USA. Her neural networks research focuses on theoretical understanding and advancements as well as practical implementations.
This Book was ranked at 33 by Google Books for keyword Fundamentals.
Book ID of Neural Networks for Applied Sciences and Engineering's Books is EyFeUiJibooC, Book which was written bySandhya Samarasinghehave ETAG "ab3t0Fgl20w"
Book which was published by CRC Press since 2016-04-19 have ISBNs, ISBN 13 Code is 9781420013061 and ISBN 10 Code is 1420013068
Reading Mode in Text Status is false and Reading Mode in Image Status is true
Book which have "570 Pages" is Printed at BOOK under CategoryComputers
Book was written in en
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Download Neural Networks for Applied Sciences and Engineering PDF Free
Download Neural Networks for Applied Sciences and Engineering Books Free
Download Neural Networks for Applied Sciences and Engineering Free
Download Neural Networks for Applied Sciences and Engineering PDF
Download Neural Networks for Applied Sciences and Engineering Books
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