1st Edition
Pattern Recognition with Neural Networks in C++
426 Pages
by
CRC Press
426 Pages
by
CRC Press
The addition of artificial neural network computing to traditional pattern recognition has given rise to a new, different, and more powerful methodology that is presented in this interesting book. This is a practical guide to the application of artificial neural networks. Geared toward the practitioner, Pattern Recognition with Neural Networks in C++ covers pattern classification and neural... Read more
Introduction
Pattern Recognition Systems
Motivation for Artificial Neural Network Approach
A Prelude to Pattern Recognition
Statistical Pattern Recognition
Syntactic Pattern Recognition
The Character Recognition Problem
Organization of Topics
Neural Networks: An Overview
Motivation for Overviewing Biological Neural Networks
Background
Biological Neural Networks
Hierarchical Organization of the Brain
Historical Background
Artificial Neural Networks
Preprocessing
General
Dealing with Input from a Scanned Image
Image Compression
Edge Detection
Skeletonizing
Dealing with Input from a Tablet
Segmentation
Feed Forward Networks with Supervised Learning
Feed-Forward Multilayer Perceptron (FFMLP) Architecture
FFMLP in C++
Training with Back Propagation
A Primitive Example
Training Strategies and Avoiding Local Minima
Variations on Gradient Descent
Topology
ACON vs. OCON
Overtraining and Generalization
Training Set Size and Network Size
Conjugate Gradient Method
ALOPEX
Some Other Types of Neural Networks
General
Radial Basis Function Networks
Higher Order Neural Networks
Feature Extraction I: Geometric Features and Transformations
General
Geometric Features (Loops, Intersections and Endpoints)
Feature Maps
A Network Example Using Geometric Features
Feature Extraction Using Transformations
Fourier Descriptors
Gabor Transformations and Wavelets
Feature Extraction II: Principle Component Analysis
Dimensionality Reduction
Principal Components
Karhunen-Loeve (K-L) Transformation
Principal Component Neural Networks
Applications
Kohonen Networks and Learning Vector Quantization
General
K-Means Algorithm
An Introduction to the Kohonen Model
The Role of Lateral Feedback
Kohonen Self-Organizing Feature Map
Learning Vector Quantization
Variations on LVQ
Neural Associative Memories and Hopfield Netwo
Pattern Recognition Systems
Motivation for Artificial Neural Network Approach
A Prelude to Pattern Recognition
Statistical Pattern Recognition
Syntactic Pattern Recognition
The Character Recognition Problem
Organization of Topics
Neural Networks: An Overview
Motivation for Overviewing Biological Neural Networks
Background
Biological Neural Networks
Hierarchical Organization of the Brain
Historical Background
Artificial Neural Networks
Preprocessing
General
Dealing with Input from a Scanned Image
Image Compression
Edge Detection
Skeletonizing
Dealing with Input from a Tablet
Segmentation
Feed Forward Networks with Supervised Learning
Feed-Forward Multilayer Perceptron (FFMLP) Architecture
FFMLP in C++
Training with Back Propagation
A Primitive Example
Training Strategies and Avoiding Local Minima
Variations on Gradient Descent
Topology
ACON vs. OCON
Overtraining and Generalization
Training Set Size and Network Size
Conjugate Gradient Method
ALOPEX
Some Other Types of Neural Networks
General
Radial Basis Function Networks
Higher Order Neural Networks
Feature Extraction I: Geometric Features and Transformations
General
Geometric Features (Loops, Intersections and Endpoints)
Feature Maps
A Network Example Using Geometric Features
Feature Extraction Using Transformations
Fourier Descriptors
Gabor Transformations and Wavelets
Feature Extraction II: Principle Component Analysis
Dimensionality Reduction
Principal Components
Karhunen-Loeve (K-L) Transformation
Principal Component Neural Networks
Applications
Kohonen Networks and Learning Vector Quantization
General
K-Means Algorithm
An Introduction to the Kohonen Model
The Role of Lateral Feedback
Kohonen Self-Organizing Feature Map
Learning Vector Quantization
Variations on LVQ
Neural Associative Memories and Hopfield Netwo
Biography
Pandya, Abhijit S.; Macy, Robert B.
