Pattern recognition already figures large in our world, and the possibilities in fields as diverse as climate, culture and history are enormous. This book explores neural networks and functional networks for possible tracks of pattern recognition.
Pattern Recognition using Neural and Functional Networks
โ Scribed by Vasantha Kalyani David, Sundaramoorthy Rajasekaran (auth.)
- Publisher
- Springer Berlin Heidelberg
- Year
- 2009
- Tongue
- English
- Leaves
- 196
- Series
- Studies in Computational Intelligence 160
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Appl.Mathematics/Computational Methods of Engineering; Software Engineering
๐ SIMILAR VOLUMES
properly designed multi-layer networks can learn complex mappings in high-dimensional spaces without requiring complicated hand-crafted feature extractors.
This book is one of the most up-to-date and cutting-edge texts available on the rapidly growing application area of neural networks. Neural Networks and Pattern Recognition focuses on the use of neural networksin pattern recognition, a very important application area for neural networks technology.
Ripley brings together two crucial ideas in pattern recognition: statistical methods and machine learning via neural networks. He brings unifying principles to the fore, and reviews the state of the subject. Ripley also includes many examples to illustrate real problems in pattern recognition and ho
Ripley brings together two crucial ideas in pattern recognition: statistical methods and machine learning via neural networks. He brings unifying principles to the fore, and reviews the state of the subject. Ripley also includes many examples to illustrate real problems in pattern recognition and ho