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Supervised and unsupervised pattern recognition : feature extraction and computational intelligence

Author: Evangelia Micheli-Tzanakou
Publisher: Boca Raton, FL : CRC Press, ©2000.
Series: Industrial electronics series.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"There are many books on neural networks, some of which cover computational intelligence, but none that incorporate both feature extraction and computational intelligence. Supervised and Unsupervised Pattern Recognition does this and more, describing the application of a novel, unsupervised pattern recognition scheme to the classification of various types of waveforms and images."--Jacket.
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Details

Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Evangelia Micheli-Tzanakou
ISBN: 0849322782 9780849322785
OCLC Number: 42080284
Description: 371 pages : illustrations ; 24 cm.
Contents: Overviews of Neural Networks, Classifiers, and Feature Extraction Methods --
Supervised Neural Networks --
Criteria for Optimal Classifier Design --
Categorizing the Classifiers --
Bayesian Optimal Classifiers --
Exemplar Classifiers --
Space Partition Methods --
Neural Networks --
Bayesian Classifiers --
Minimum ECM Classifers --
Multi-Class Optimal Classifiers --
Bayesian Classifiers with Multivariate Normal Populations --
Quadratic Discriminant Score --
Linear Discriminant Score --
Linear Discriminant Analysis and Classification --
Equivalence of LDF to Minimum TPM Classifier --
Learning Vector Quantizer (LVQ) --
Competitive Learning --
Self-Organizing Map --
Learning Vector Quantization --
Nearest Neighbor Rule --
Neural Networks (NN) --
Artificial Neural Networks --
Usage of Neural Networks --
Other Neural Networks --
Feed-Forward Neural Networks --
Error Backpropagation --
Madaline Rule III for Multilayer Network with Sigmoid Function --
A Comment on the Terminology 'Backpropagation' --
Optimization Machines with Feed-Forward Multilayer Perceptrons --
Justification for Gradient Methods for Nonlinear Function Approximation --
Training Methods for Feed-Forward Networks --
Issues in Neural Networks --
Universal Approximation --
Enhancing Convergence Rate and Generalization of an Optimization Machine --
Suggestions for Improving the Convergence --
Quick Prop --
Kullback-Leibler Distance --
Weight Decay --
Regression Methods for Classification Purposes --
Two-Group Regression and Linear Discriminant Function.
Series Title: Industrial electronics series.
Responsibility: [edited by] Evangelia Micheli-Tzanakou.
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Abstract:

Describes the application of a pattern recognition scheme to the classification of various types of waveforms and images. This book also discusses the establishment of a brain-to-computer link and  Read more...

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"This book is an excellent source of knowledge of state-of-the-art feature extractionSupervised and unsupervised learning and training schemes are notable findsExciting applications of signal and Read more...

 
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