Hagan, Martin T.
Neural Network Design (2nd Edition)
- ISBN 13:
- 9780971732117
- author:
- Hagan, Martin T.
- format:
- Paperback
- publisher:
- Martin Hagan
- language:
- English
- Publication Year:
- 2014
- Pages:
- 802
- Dimensions:
- 23.5 x 19.1 x 4 centimeters (1.3
- Genre:
- Computers, Computer Science, Neural Networks,
- Condition:
- New
- Availability:
- Item usually sent within 7 working days
Description
Neural Network Design by Martin T. Hagan, Howard B. Demuth, Mark Hudson Beale and Orlando De Jesús provides a comprehensive coverage of fundamental neural network architectures and learning rules. The authors present a coherent approach to principal neural networks, training methods, and their applications to practical problems. The book offers extensive coverage of training methods for both feedforward and recurrent networks, including conjugate gradient and Levenberg-Marquardt variations of the backpropagation algorithm, as well as Bayesian regularization and early stopping. It also explains associative and competitive networks using simple building blocks. Practical training tips are provided, along with five detailed real-world case studies. With numerous solved problems, slides, and demonstration software available for download, this book is an ideal resource for those looking to understand neural network design and its applications in data science and technology.
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