Pattern Recognition Using Neural Networks : Theory and Algorithms for Engineers and Scientists Book

Pattern Recognition Using Neural Networks : Theory and Algorithms for Engineers and Scientists, Pattern Recognition Using Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks. The approach is algorithmic for easy implementation on a computer, which makes this a refreshing what-wh, Pattern Recognition Using Neural Networks : Theory and Algorithms for Engineers and Scientists

4 out of 5 stars based on 2 reviews

Pattern Recognition Using Neural Networks : Theory and Algorithms for Engineers and Scientists
Written by author Carl G. Looney
Published by Oxford University Press, USA, February 1997
Pattern Recognition Using Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks. The approach is algorithmic for easy implementation on a computer, which makes this a refreshing what-wh
Pattern Recognition Using Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks. The approach is algorithmic for easy implementation on a computer, which makes this a refreshing what-why-and-h

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List of Tables
Preface
Ch. 0 Basic Concepts of Pattern Recognition 3
Ch. 1 Decision-Theoretic Algorithms 29
Ch. 2 Structural Pattern Recognition 61
Ch. 3 Artificial Neural Network Structures 75
Ch. 4 Supervised Training via Error Backpropagation: Derivations 112
Ch. 5 Acceleration and Stabilization of Supervised Gradient Training of MLPs 155
Ch. 6 Supervised Training via Strategic Search 206
Ch. 7 Advances in Network Algorithms for Classification and Recognition 232
Ch. 8 Recurrent Neural Networks 275
Ch. 9 Neural Engineering and Testing of FANNs 297
Ch. 10 Feature and Data Engineering 334
Ch. 11 Some Comparative Studies of Feedforward Artificial Neural Networks 367
Ch. 12 Pattern Recognition Applications 409
Index 451

Title: Pattern Recognition Using Neural Networks : Theory and Algorithms for Engineers and Scientists

Manufacturer:

University Press

Item Number: 9780195079203

Publication Date: February 1997

Number: 2

Product Description: Full Name: Pattern Recognition Using Neural Networks : Theory and Algorithms for Engineers and Scientists; Short Name:Pattern Recognition Using Neural Networks

Universal Product Code (UPC): 9780195079203

WonderClub Stock Keeping Unit (WSKU): 9780195079203

Rating: 4/5 based on 2 Reviews

Image Location: https://wonderclub.com/images/covers/92/03/9780195079203.jpg

Category: Media >> Books

Weight: 0.200 kg (0.44 lbs)

Width: 7.630 cm (3.00 inches)

Heigh : 9.500 cm (3.74 inches)

Depth: 1.040 cm (0.41 inches)

Date Added: August 25, 2020, Added By: Ross

Date Last Edited: August 25, 2020, Edited By: Ross

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Murphy Murphy

reviewed Pattern Recognition Using Neural Networks : Theory and Algorithms for Engineers and Scientists on October 02, 2014

Pattern Recognition Using Neural Networks : Theory and Algorithms for Engineers and Scientists

Fascinating read but quite outdated

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Pattern Recognition Using Neural Networks : Theory and Algorithms for Engineers and Scientists,
<em>Pattern Recognition Using Neural Networks</em> covers traditional linear pattern recognition and its nonlinear extension via neural networks. The approach is algorithmic for easy implementation on a computer, which makes this a refreshing what-wh, Pattern Recognition Using Neural Networks : Theory and Algorithms for Engineers and Scientists

Add Pattern Recognition Using Neural Networks : Theory and Algorithms for Engineers and Scientists, Pattern Recognition Using Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks. The approach is algorithmic for easy implementation on a computer, which makes this a refreshing what-wh, Pattern Recognition Using Neural Networks : Theory and Algorithms for Engineers and Scientists to the inventory that you are selling on WonderClub

Add Pattern Recognition Using Neural Networks : Theory and Algorithms for Engineers and Scientists, Pattern Recognition Using Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks. The approach is algorithmic for easy implementation on a computer, which makes this a refreshing what-wh, Pattern Recognition Using Neural Networks : Theory and Algorithms for Engineers and Scientists to your collection on WonderClub

Pattern Recognition Using Neural Networks : Theory and Algorithms for Engineers and Scientists Book

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	List of Tables
	Preface
Ch. 0	Basic Concepts of Pattern Recognition	3
Ch. 1	Decision-Theoretic Algorithms	29
Ch. 2	Structural Pattern Recognition	61
Ch. 3	Artificial Neural Network Structures	75
Ch. 4	Supervised Training via Error Backpropagation: Derivations	112
Ch. 5	Acceleration and Stabilization of Supervised Gradient Training of MLPs	155
Ch. 6	Supervised Training via Strategic Search	206
Ch. 7	Advances in Network Algorithms for Classification and Recognition	232
Ch. 8	Recurrent Neural Networks	275
Ch. 9	Neural Engineering and Testing of FANNs	297
Ch. 10	Feature and Data Engineering	334
Ch. 11	Some Comparative Studies of Feedforward Artificial Neural Networks	367
Ch. 12	Pattern Recognition Applications	409
	Index	451