Learning dynamics of simple perceptrons with non-extensive cost functions-Reference-Cited by-同舟云学术

Learning dynamics of simple perceptrons with non-extensive cost functions

Published:1996-01 Issue:1 Volume:7 Page:141-149
ISSN:0954-898X
Container-title:Network: Computation in Neural Systems
language:en
Short-container-title:Network: Computation in Neural Systems

Author:

Cannas S A¹,Stariolo D²,Tamarit F A¹²

Affiliation:

1. Facultad de Matemática, Astronomía y Física, Universidad Nacional de Córdoba, Haya de la Torre y Medina Allende S/N, Ciudad Universitaria, 5000 Córdoba, Argentina

2. Centro Brasileiro de Pesquisas Físicas, Rua Xavier Sigaud 150, 22290–180, Rio de Janeiro, Brazil

Publisher

Informa UK Limited

Subject

Neuroscience (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/0954898X.1996.11978659

Reference14 articles.

1. The statistical mechanics of learning a rule

2. The Langevin and Fokker-Planck equations in the framework of a generalized statistical mechanics

3. Statistical mechanics of learning from examples

4. Possible generalization of Boltzmann-Gibbs statistics

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Non-additive entropies and statistical mechanics at the edge of chaos: a bridge between natural and social sciences;Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences;2023-08-14

2. Generalization of the Kullback–Leibler divergence in the Tsallis statistics;Journal of Mathematical Analysis and Applications;2016-04

3. Application of different entropy formalisms in a neural network for novel word learning;The European Physical Journal Plus;2015-12

4. Human and Computer Learning: An Experimental Study;Complexus;2003

5. Nonlinear Fokker–Planck equations whose stationary solutions make entropy-like functionals stationary;Physica A: Statistical Mechanics and its Applications;1999-10