Supervised and Unsupervised Pattern Recognition -

Supervised and Unsupervised Pattern Recognition

Feature Extraction and Computational Intelligence

Evangelia Miche Tzanakou (Herausgeber)

Buch | Hardcover
388 Seiten
1999
Crc Press Inc (Verlag)
978-0-8493-2278-5 (ISBN)
179,95 inkl. MwSt
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 analyzes findings from human experiments.
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.

Evangelia Miche Tzanakou

Classifiers-an overview, Criteria for optimal classifier design, Categorizing the Classifiers, Classifiers, Neural Networks, Comparison of Experimental Results, System Performance Assessment, Analysis of Prediction Rates from Bootstrapping Assessment, ARTIFICIAL NEURAL NETWORKS: DEFINITIONS, METHODS, APPLICATIONS, Definitions, Training Algorithm, Some Applications, A SYSTEM FOR HANDWRITTEN DIGIT RECOGNITION, Preprocessing of Handwritten Digit Images, Zernike Moments (ZM) for Characterization of Image Patterns, Dimensionality Reduction, Analysis of Prediction Error Rates from Bootstrapping Assessment, Summary , OTHER TYPES OF FEATURE EXTRACTION METHODS, Introduction, Wavelets, Invariant Moments, Entropy, Cepstrum Analysis , Fractal Dimension, Entropy, SGLD Texture Features, FUZZY NEURAL NETWORKS, Pattern Recognition, Optimization, System Design, Clustering, APPLICATION TO HANDWRITTEN DIGITS, Introduction to Character Recognition, Data Collection, Results, Discussion, Summary , A UNSUPERVISED NEURAL NETWORK SYSTEM FOR VISUAL EVOKED POTENTIALS, Data Collection and Preprocessing, System Design, Results, Discussion , CLASSIFICATION OF MAMMOGRAMS USING A MODULAR NEURAL NETWORK, Methods and System Overview, Modular Neural Networks, Neural Network Training, Classification Results, The Process of Obtaining Results, ALOPEX Parameters, Generalization, Conclusions, VISUAL OPHTHALMOLOGIST: AN AUTOMATED SYSTEM FOR CLASSIFICATION OF RETINAL DAMAGE, System Overview, Modular Neural Networks, Applications to Ophthalmology, Results, Discussion, A THREE-DIMENSIONAL NEURAL NETWORK ARCHITECTURE, The Neural Network Architecture, Simulations, Discussion, A FEATURE EXTRACTION ALGORITHM USING CONNECTIVITY STRENGTHS AND MOMENT INVARIANTS, ALOPEX Algorithms, Moment Invariants and ALOPEX, Results and Discussion, MULTILAYER PERCEPTRONS WITH ALOPEX: 2D-TEMPLATE MAT

Erscheint lt. Verlag 28.12.1999
Reihe/Serie Industrial Electronics
Zusatzinfo 19 Tables, black and white; 9 Halftones, black and white
Verlagsort Bosa Roca
Sprache englisch
Maße 156 x 234 mm
Gewicht 880 g
Einbandart gebunden
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
ISBN-10 0-8493-2278-2 / 0849322782
ISBN-13 978-0-8493-2278-5 / 9780849322785
Zustand Neuware
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