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Band 17

Associative Memory A System-Theoretical Approach

Aus der Reihe Communication and Cybernetics

Fr. 73.90

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

19.01.2012

Verlag

Springer Berlin

Seitenzahl

178

Maße (L/B/H)

24.4/17/1.1 cm

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-3-642-96386-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

19.01.2012

Verlag

Springer Berlin

Seitenzahl

178

Maße (L/B/H)

24.4/17/1.1 cm

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-3-642-96386-5

Herstelleradresse

Springer-Verlag GmbH
Heidelberger Platz 3
14197 Berlin
Deutschland
Email: sdc-bookservice@springer.com
Url: www.springer.com
Telephone: +49 30 827870
Fax: +49 30 8214091

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  • Produktbild: Associative Memory
  • Produktbild: Associative Memory
  • 1. Introduction.- 1.1 On the Physical Embodiment of Associative Information Structures.- 1.1.1 A System-Model Approach to the Associative Memory.- 1.1.2 Relational Structures of Knowledge.- 1.1.3 Acquisition and Retrieval of Knowledge as Structured Sequences.- 1.2 Implementations of Associative Recall.- 1.2.1 Basic Characteristics of Associative Memories.- 1.2.2 The Content-Addressable Memory (CAM).- 1.2.3 Hash-Coding.- 1.2.4 Holographic Associative Memories.- 1.2.5 Nonholographic, Distributed Associative Memories.- 1.3 Mathematical Notations and Methods.- 1.3.1 Vector Space Concepts.- 1.3.2 Matrix Notations.- 1.3.3 Further Properti es of Matrices.- 1.3.4 Matrix Equations.- 1.3.5 Projection Operators.- 1.3.6 Matrix Differential Calculus.- 2. Associative Search Methods.- 2.1 Addressing by the Contents.- 2.1.1 Hash-Coding Principles.- 2.1.2 An Example of Hash-Coding: Multiple-Keyword Search.- 2.1.3 A Processing Language for Associative Data Structures.- 2.2 Content-Addressable Memories.- 2.2.1 Associative Recall by the Partial Match Operation.- 2.2.2 Hardware Implementation of the CAM Structure.- 2.2.3 Parallel Comparison of Magnitudes.- 2.3 Optimal Associative Mappings.- 2.3.1 System Model for an Analog Associative Memory.- 2.3.2 Autoassociative Recall as an Orthogonal Projection.- 2.3.3 The Novelty Filter.- 2.3.4 Autoassociative Encoding.- 2.3.5 Optimal Linear Associative Mappings.- 2.3.6 Optimal Nonlinear Associative Mappings.- 2.3.7 The Problem of Invariant Recognition.- 2.3.8 Relationship Between Associative Mapping, Linear Regression, and Linear Estimation.- 2.4 Relationship of Associative Mappings to Pattern Classification.- 2.4.1 Discriminant Functions.- 2.4.2 Comparison Methods.- 2.4.3 Statistical Formulation of Pattern Classification.- 3. Adaptive Formation of Optimal Associative Mappings.- 3.1 On the Implementation of Conditioned Responses in Simple Physical Systems.- 3.1.1 A Simple Adaptive Linear System.- 3.1.2 On the Physical Realizability of Adaptive Elements.- 3.2 Adaptive Filters Which Compute Orthogonal Projections.- 3.2.1 The Novelty Detector Paradigm.- 3.2.2 Analysis of the Adaptive Linear Unit by Means of Matrix Products.- 3.2.3 An Extremely Fast Adaptive Process Which Generates the Novel ty Filter.- 3.2.4 Adaptation With Forgetting.- 3.3 Recursive Generation of the Optimal Associative Mapping.- 3.3.1 Linear Corrective Algorithms.- 3.3.2 The General Setting for the Computation of M = YX+.- 3.3.3 Recursive Evaluation of the Best Exact Solution (Gradient Projection Method).- 3.3.4 Recursive Evaluation of the Best Approximate Solution (Regression Solution).- 3.3.5 Recursive Solution in the General Case.- 4. On Biological Associative Memory.- 4.1 Physiological Foundations of Memory.- 4.1.1 On the Mechanisms of Memory in Biological Systems.- 4.1.2 Structural Features of Some Neural Networks.- 4.1.3 Functional Features of Neurons.- 4.1.4 Modelling of the Synaptic Plasticity.- 4.1.5 Can the Memory Capacity Ensue from Synaptic Changes?.- 4.2 Computerized Models of Associative Memory in Neural Networks.- 4.2.1 The Associative Network Paradigm.- 4.2.2 The Novelty Filter Paradigm.- 4.2.3 Review of Related Approaches.- References.- Author Index.