Applying Neural Networks: A Practical Guide
| Author | : | |
| Rating | : | 4.66 (843 Votes) |
| Asin | : | 0126791708 |
| Format Type | : | paperback |
| Number of Pages | : | 303 Pages |
| Publish Date | : | 2017-06-26 |
| Language | : | English |
DESCRIPTION:
The company was also awarded a SMART award in 1995 for a neural network based software package. Swingler is also involved with research and teaching at Stirling University in Scotland.. Kevin Swingler runs a successful neural engineering consulting company called Neural Innovation, a company which won the 1994 John Logie Baird Award for In
Each chapter presents a subsequent stage in network development through easy-to-follow discussion. There are numerous applications for neural networks, but a great deal of care and expertise is necessary to keep a neural-based project in working order.This all-inclusive coverage gives you everything you need to put neural networks into practice. The second half of the book examines the sucessful application of neural networks in fields including signal processing, financial prediction, business decision support, and process monitoring and control. The book comes complete with a disk containing C and C++ programs to get you started. In this computer-based era, neural networks are an
Swingler is also involved with research and teaching at Stirling University in Scotland.. The company was also awarded a SMART award in 1995 for a neural network based software package. Dr. About the Author Kevin Swingler runs a successful neural engineering consulting company called Neural Innovation, a company which won the 1994 John Logie Baird Award for Innovation
Much more theoretical than practical T. Isaac This book reads like a doctoral thesis. The neural network theory presented is quite complete, if difficult to wade through. Having "practical" in its title, I expected far better examples on the accompanying disk. However, the source code came with no make files and no sample data. Many syntax errors quickly became apparent when I tried to incorporate the code into a project. A Commentary on Kevin Swingler's Applying Neural Networks Applying Neural Networks not only is a good review of the types of neural networks and and excellent discussion of how to design and implement them. It not only teaches how to select the type of neural net to use. What I loved most about this book was that it discussed with insightful, vivid details how to plan for, conceptualize, and prepare the neural net project long befor. Not the deepest book on the subject A Customer This book is a fairly easy read. About no mathematical blobs thrown around, and still it contains a great deal of information. While you will find truly deep books on neural networks, at least this is a book you will have a reasonable chance from start to finish And you will probably end up understanding most of it. Of course , it is an advantage to understand the backpropaga