direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Page Content

Prof. Dr. Manfred Opper


Head of Research Group AI
Office: FR 5059
Phone: +49 30 314-73749
E-Mail: manfred.opper <AT> tu-berlin.de
Consulting hour according to agreement



Learning in Artificial Neural Networks: The Statistical Mechanics Approach

Manfred Opper

Supercomputing in Brain Reasearch: From Tomography to Neural Networks. World Scientific, 321–330. 1995

Download Bibtex entry

Maximal Stability in Unsupervised Learning

Andreas Mietzner and Manfred Opper and Wolfgang Kinzel

J. Phys. A, 2785–2797. 1995

Download Bibtex entry


Statistical Mechanics of the Knapsack Problem

Elka Korutcheva and Manfred Opper and Bernardo J. López

J. Phys. A, L645–L650. 1994

Download Bibtex entry


Simulating Infinite Systems

Manfred Opper

Physica A, 545–551. 1993

Download Bibtex entry

Exact Solution to a Toy Random Field Model

Manfred Opper

J. Phys. A, L719–L722. 1993

Download Bibtex entry

The effect of correlations in neural networks

Andreas Wendemuth and Manfred Opper and Wolfgang Kinzel

J. Phys. A, 3165–3185. 1993

Download Bibtex entry

The Generalization Ability of Perceptrons with Continuous Outputs

Siegfried Bös and Wolfgang Kinzel and Manfred Opper

Physical Review E, 1384. 1993

Download Bibtex entry

Construction Algorithm for the Parity Machine

Michael Biehl and Manfred Opper

Physica A, 307–313. 1993

Download Bibtex entry


Phase Transition and $1/f$ Noise in a Game dynamical Model

Manfred Opper and Sigurd Diederich

Phys. Rev. Lett., 1616-1619. 1992

Link to publication Download Bibtex entry

Generalization in a two–layer network

Holm Schwarze and Manfred Opper and Wolfgang Kinzel

Phys. Rev. A, 6185–6188. 1992

Download Bibtex entry

Physik lernender Netzwerke (physics of learning networks)

Manfred Opper

Physikalische Blätter, 569–574. 1992

Download Bibtex entry

Query by committee

H. Sebastian Seung and Manfred Opper and Haim Sompolinsky

Proceedings of the Fifth Annual Conference on Computational Learning Theory. ACM Press, 287-294. 1992

Link to publication Download Bibtex entry

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions

Postal Address

TU Berlin
Fakultät IV
Elektrotechnik und Informatik
sec. MAR 4-2
Marchstrasse 23
D-10587 Berlin