Supervised and Unsupervised Pattern Recognition
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Ahmet Ademoglu
algorithm
alopex
ALOPEX Algorithm
Analog VLSI
automated character recognition
Backpropagation Algorithm
Basilar Membrane
Category=UYQN
Category=UYQP
Cluster Centers
Cluster Validity Measure
computational
Cynthia Enderwick
Daniel A. Zahner
dimensionality reduction strategies
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Evangelia Micheli-Tzanakou
extraction
Faiq A. Fazal
FCM Algorithm
FE
feature
field
Francis Phan
fuzzy clustering methods
Handwritten Digits
image preprocessing techniques
Input Pattern
intelligence
Invariant Moments
Jeremy Bricker
machine learning applications
medical signal analysis
Modular Neural Networks
Multiresolution Analysis
Multiresolution Decomposition
network
neural
Neural Network
neural network simulation for medical diagnostics
Pattern Recognition System
Quadrature Mirror Filters
Raymond Iezzi
receptive
Receptive Field
Sergey Aleynikov
Seth Wolpert
STFT
Tae-Soo Chon
Timothy J. Dasey
VEP
VEP Waveform
Vice Versa
VLSI Implementation
Wavelet Coefficients
Wavelet Transform
Woogon Chung
Product details
- ISBN 9780849322785
- Weight: 880g
- Dimensions: 156 x 234mm
- Publication Date: 28 Dec 1999
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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There are many books on neural networks, some of which cover computational intelligence, but none that incorporate both feature extraction and computational intelligence, as Supervised and Unsupervised Pattern Recognition does. This volume describes the application of a novel, unsupervised pattern recognition scheme to the classification of various types of waveforms and images.
This substantial collection of recent research begins with an introduction to Neural Networks, classifiers, and feature extraction methods. It then addresses unsupervised and fuzzy neural networks and their applications to handwritten character recognition and recognition of normal and abnormal visual evoked potentials. The third section deals with advanced neural network architectures-including modular design-and their applications to medicine and three-dimensional NN architecture simulating brain functions. The final section discusses general applications and simulations, such as the establishment of a brain-computer link, speaker identification, and face recognition.
In the quickly changing field of computational intelligence, every discovery is significant. Supervised and Unsupervised Pattern Recognition gives you access to many notable findings in one convenient volume.
