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Neural Networks for Applied Sciences and Engineering : From Fundamentals to Complex Pattern Recognition by Sandhya Samarasinghe is a nonfiction available to read on EtoBox.

What is Neural Networks for Applied Sciences and Engineering : From Fundamentals to Complex Pattern Recognition about?

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-dimen

Who reads Neural Networks for Applied Sciences and Engineering : From Fundamentals to Complex Pattern Recognition?

Author

Sandhya Samarasinghe

Publisher

CRC Press LLC

Published

2006

Language

EN

ISBN

9780429115783

Category

nonfiction

Subjects

Science, Technology, Engineering