عنوان

Models of Neural Networks I

شابک

3642798144

شابک

3642971717

شابک

9783642798146

شابک

9783642971716

شماره

b574029

عنوان اصلي

Models of Neural Networks I

نام عام مواد

[Book]

نام نخستين پديدآور

edited by Eytan Domany, J. Leo Hemmen, Klaus Schulten.

وضعيت ويراست

Second Updated edition

محل نشرو پخش و غیره

Berlin, Heidelberg

نام ناشر، پخش کننده و غيره

Springer Berlin Heidelberg

تاریخ نشرو بخش و غیره

1995

نام خاص و کميت اثر

(xviii, 355 pages 79 illustrations, 3 illustrations in color.)

عنوان فروست

Physics of neural networks.

متن يادداشت

1. Collective Phenomena in Neural Networks --; 1.1 Introduction and Overview --; 1.2 Prerequisites --; 1.3 The Hopfield Model --; 1.4 Nonlinear Neural Networks --; 1.5 Learning, Unlearning, and Forgetting --; 1.6 Hierarchically Structured Information --; 1.7 Outlook --; References --; 2. Information from Structure: A Sketch of Neuroanatomy --; 2.1 Development of the Brain --; 2.2 Neuroanatomy Related to Information Handling in the Brain --; 2.3 The Idea of Electronic Circuitry --; 2.4 The Projection from the Compound Eye onto the First Ganglion (Lamina) of the Fly --; 2.5 Statistical Wiring --; 2.6 Symmetry of Neural Nets --; 2.7 The Cerebellum --; 2.8 Variations in Size of the Elements --; 2.9 The Cerebral Cortex --; 2.10 Inborn Knowledge --; References --; 3. Storage Capacity and Learning in Ising-Spin Neural Networks --; 3.1 Introduction --; 3.2 Content-addressability: A Dynamics Problem --; 3.3 Learning --; 3.4 Discussion --; References --; 4. Dynamics of Learning --; 4.1 Introduction --; 4.2 Definition of Supervised Learning --; 4.3 Adaline Learning --; 4.4 Perceptron Learning --; 4.5 Binary Synapses --; 4.6 Basins of Attraction --; 4.7 Forgetting --; 4.8 Outlook --; References --; 5. Hierarchical Organization of Memory --; 5.1 Introduction --; 5.2 Models: The Problem --; 5.3 A Toy Problem: Patterns with Low Activity --; 5.4 Models with Hierarchically Structured Information --; 5.5 Extensions --; 5.6 The Enhancement of Storage Capacity: Multineuron Interactions --; 5.7 Conclusion --; References --; 6. Asymmetrically Diluted Neural Networks --; 6.1 Introduction --; 6.2 Solvability and Retrieval Properties --; 6.3 Exact Solution with Dynamic Functionals --; 6.4 Extensions and Related Work --; Appendix A --; Appendix B --; Appendix C --; References --; 7. Temporal Association --; 7.1 Introduction --; 7.2 Fast Synaptic Plasticity --; 7.3 Noise-Driven Sequences of Biased Patterns --; 7.4 Stabilizing Sequences by Delays --; 7.5 Applications: Sequence Recognition, Counting, and the Generation of Complex Sequences --; 7.6 Hebbian Learning with Delays --; 7.7 Epilogue --; References --; 8. Self-organizing Maps and Adaptive Filters --; 8.1 Introduction --; 8.2 Self-organizing Maps and Optimal Representation of Data --; 8.3 Learning Dynamics in the Vicinity of a Stationary State --; 8.4 Relation to Brain Modeling --; 8.5 Formation of a 'Somatotopic Map' --; 8.6 Adaptive Orientation and Spatial Frequency Filters --; 8.7 Conclusion --; References --; 9. Layered Neural Networks --; 9.1 Introduction --; 9.2 Dynamics of Feed-Forward Networks --; 9.3 Unsupervised Learning in Layered Networks --; 9.4 Supervised Learning in Layered Networks --; 9.5 Summary and Discussion --; References --; Elizabeth Gardner-An Appreciation.

متن يادداشت

This collection of articles responds to the urgent need for timely and comprehensive reviews in a multidisciplinary, rapidly developing field of research. The book starts out with an extensive introduction to the ideas used in the subsequent chapters, which are all centered around the theme of collective phenomena in neural netwerks: dynamics and storage capacity of networks of formal neurons with symmetric or asymmetric couplings, learning algorithms, temporal association, structured data (software), and structured nets (hardware). The style and level of this book make it particularly useful for advanced students and researchers looking for an accessible survey of today's theory of neural networks.

موضوع مستند نشده

Neurosciences.

موضوع مستند نشده

Optical pattern recognition.

موضوع مستند نشده

Physics.

مستند نام اشخاص تاييد نشده

edited by Eytan Domany, J. Leo Hemmen, Klaus Schulten.

مستند نام اشخاص تاييد نشده

Eytan Domany

مستند نام اشخاص تاييد نشده

J Leo Hemmen

مستند نام اشخاص تاييد نشده

K Schulten

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y