๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Pattern Recognition using Neural and Functional Networks

โœ 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

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Subjects


Appl.Mathematics/Computational Methods of Engineering; Software Engineering


๐Ÿ“œ SIMILAR VOLUMES


Pattern Recognition using Neural and Fun
โœ Vasantha Kalyani David, Sundaramoorthy Rajasekaran (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2009 ๐Ÿ› Springer Berlin Heidelberg ๐ŸŒ English

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 and Neural Networks
โœ Yann LeCun , Yoshua Bengio ๐Ÿ“‚ Library ๐Ÿ“… 1995 ๐ŸŒ English

properly designed multi-layer networks can learn complex mappings in high-dimensional spaces without requiring complicated hand-crafted feature extractors.

Neural Networks and Pattern Recognition
โœ Omid Omidvar, Judith Dayhoff ๐Ÿ“‚ Library ๐Ÿ“… 1997 ๐Ÿ› Academic Press ๐ŸŒ English

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.

Pattern Recognition and Neural Networks
โœ Brian D. Ripley ๐Ÿ“‚ Library ๐Ÿ“… 2008 ๐Ÿ› Cambridge University Press ๐ŸŒ English

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

Pattern Recognition and Neural Networks
โœ Brian D. Ripley ๐Ÿ“‚ Library ๐Ÿ“… 1996 ๐Ÿ› Cambridge University Press ๐ŸŒ English

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