Advanced search
Publication Cover
Philosophical Magazine B Volume 77, 1998 - Issue 5
Journal homepage
111
Views
10
CrossRef citations to date
0
Altmetric
Original Articles

Phase transitions of neural networks

Wolfgang Kinzel Institut für Theoretische Physik, Universität Würzburg, Am Hubland, D-97074, Würzburg, Germany
Pages 1455-1477 | Published online: 13 Aug 2009

Citations (10)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (1)

Y.M. Zhang, J.R.G. Evans & S.F. Yang. (2010) Detection of material property errors in handbooks and databases using artificial neural networks with hidden correlations. Philosophical Magazine 90:33, pages 4453-4474.
Read now

Articles from other publishers (9)

Dmitry Solnyshkov & Guillaume Malpuech. (2022) Love might be a second-order phase transition. Physics Letters A 445, pages 128245.
Crossref
Y.F. Contoyiannis, S.M. Potirakis, F.K. Diakonos & E.K. Kosmidis. (2021) Criticality in a hybrid spin model with Fermi–Dirac statistics. Physica A: Statistical Mechanics and its Applications 577, pages 126073.
Crossref
Elisa Oostwal, Michiel Straat & Michael Biehl. (2021) Hidden unit specialization in layered neural networks: ReLU vs. sigmoidal activation. Physica A: Statistical Mechanics and its Applications 564, pages 125517.
Crossref
Michael Biehl. 2021. Brain-Inspired Computing. Brain-Inspired Computing 128 142 .
Yong-Zai Lu, Yu-Wang Chen, Min-Rong Chen, Peng Chen & Guo-Qiang Zeng. 2016. Extremal Optimization. Extremal Optimization 297 314 .
Michal Rosen-Zvi, Einat Klein, Ido Kanter & Wolfgang Kinzel. (2002) Mutual learning in a tree parity machine and its application to cryptography. Physical Review E 66:6.
Crossref
N. CatichaJ. E. Palo TejadaD. LancetE. Domany. (2002) Computational Capacity of an Odorant Discriminator: The Linear Separability of Curves. Neural Computation 14:9, pages 2201-2220.
Crossref
Peixun Luo & K. Y. Michael Wong. (2001) Cavity approach to noisy learning in nonlinear perceptrons. Physical Review E 64:6.
Crossref
Michal Rosen-Zvi & Ido Kanter. (2001) Training a perceptron in a discrete weight space. Physical Review E 64:4.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.