Author: Sandhya Samarasinghe
Edition: 1
Binding: Hardcover
ISBN: 084933375X
Publisher: Auerbach Publications
Features:
Edition: 1
Binding: Hardcover
ISBN: 084933375X
Publisher: Auerbach Publications
Features:
Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition
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. Search and download computer ebooks Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition for free.
Author: Samarasinghe, Sandhya ISBN-10: 084933375X. Download Neural Networks for Applied Sciences and Engineering computer ebooks
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
Neural Networks for Applied Sciences and Engineering..., 9780849333750
Neural Networks for Applied Sciences and Engineering From Fundamentals to Complex Pattern Recognition, ISBN-13: 9780849333750, ISBN-10: 084933375X
Taylor & Francis Ltd | 2006 | 570 pages | ISBN-13: 9780849333750 | ISBN-10: 084933375X | You save 10%
"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
"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
Neural Networks for Applied Sciences and Engineering Free
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
