Neural Networks: A Classroom Approach
Satish Kumar, Dayalbagh Educational Institute
Tata McGraw-Hill, 2004
ISBN: 978-0-07048292-0;
Language: English
Written for senior undergraduate and graduate students in engineering, this book is intended for a first course on neural networks. The book stresses an intuitive and geometrical understanding of neural networks. Topics covered include neuroscience, statistical pattern recognition, support vector machines, pulsed neural networks, fuzzy systems, soft computing, and dynamical systems.
MATLAB is used throughout the text to solve many real-world application examples. In addition, a supplemental set of MATLAB codes files is available for download.
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
You can also select a web site from the following list
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
Americas
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)