Vor Ort
Merkzettel Warenkorb
Produktbild: Self-Organization and Associative Memory
Band 8

Self-Organization and Associative Memory

Aus der Reihe Springer Series in Information Sciences

49,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

14.09.1989

Abbildungen

XV, 312 p. 100 illus.

Verlag

Springer Berlin

Seitenzahl

312

Maße (L/B/H)

23,5/15,5/1,9 cm

Gewicht

505 g

Auflage

Third Edition 1989

Sprache

Englisch

ISBN

978-3-540-51387-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

14.09.1989

Abbildungen

XV, 312 p. 100 illus.

Verlag

Springer Berlin

Seitenzahl

312

Maße (L/B/H)

23,5/15,5/1,9 cm

Gewicht

505 g

Auflage

Third Edition 1989

Sprache

Englisch

ISBN

978-3-540-51387-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Self-Organization and Associative Memory
  • 1. Various Aspects of Memory.- 1.1 On the Purpose and Nature of Biological Memory.- 1.2 Questions Concerning the Fundamental Mechanisms of Memory.- 1.3 Elementary Operations Implemented by Associative Memory.- 1.4 More Abstract Aspects of Memory.- 2. Pattern Mathematics.- 2.1 Mathematical Notations and Methods.- 2.2 Distance Measures for Patterns.- 3. Classical Learning Systems.- 3.1 The Adaptive Linear Element (Adaline).- 3.2 The Perceptron.- 3.3 The Learning Matrix.- 3.4 Physical Realization of Adaptive Weights.- 4. A New Approach to Adaptive Filters.- 4.1 Survey of Some Necessary Functions.- 4.2 On the “Transfer Function” of the Neuron.- 4.3 Models for Basic Adaptive Units.- 4.4 Adaptive Feedback Networks.- 5. Self-Organizing Feature Maps.- 5.1 On the Feature Maps of the Brain.- 5.2 Formation of Localized Responses by Lateral Feedback.- 5.3 Computational Simplification of the Process.- 5.4 Demonstrations of Simple Topology-Preserving Mappings.- 5.5 Tonotopic Map.- 5.6 Formation of Hierarchical Representations.- 5.7 Mathematical Treatment of Self-Organization.- 5.8 Automatic Selection of Feature Dimensions.- 6. Optimal Associative Mappings.- 6.1 Transfer Function of an Associative Network.- 6.2 Autoassociative Recall as an Orthogonal Projection.- 6.3 The Novelty Filter.- 6.4 Autoassociative Encoding.- 6.5 Optimal Associative Mappings.- 6.6 Relationship Between Associative Mapping, Linear Regression, and Linear Estimation.- 6.7 Recursive Computation of the Optimal Associative Mapping.- 6.8 Special Cases.- 7. Pattern Recognition.- 7.1 Discriminant Functions.- 7.2 Statistical Formulation of Pattern Classification.- 7.3 Comparison Methods.- 7.4 The Subspace Methods of Classification.- 7.5 Learning Vector Quantization.- 7.6 Feature Extraction.- 7.7 Clustering.- 7.8Structural Pattern Recognition Methods.- 8. More About Biological Memory.- 8.1 Physiological Foundations of Memory.- 8.2 The Unified Cortical Memory Model.- 8.3 Collateral Reading.- 9. Notes on Neural Computing.- 9.1 First Theoretical Views of Neural Networks.- 9.2 Motives for the Neural Computing Research.- 9.3 What Could the Purpose of the Neural Networks be?.- 9.4 Definitions of Artificial “Neural Computing” and General Notes on Neural Modelling.- 9.5 Are the Biological Neural Functions Localized or Distributed?.- 9.6 Is Nonlinearity Essential to Neural Computing?.- 9.7 Characteristic Differences Between Neural and Digital Computers.- 9.8 “Connectionist Models”.- 9.9 How can the Neural Computers be Programmed?.- 10. Optical Associative Memories.- 10.1 Nonholographic Methods.- 10.2 General Aspects of Holographic Memories.- 10.3 A Simple Principle of Holographic Associative Memory.- 10.4 Addressing in Holographic Memories.- 10.5 Recent Advances of Optical Associative Memories.- Bibliography on Pattern Recognition.- References.