期刊文献+

神经网络的非平衡态热力学研究 被引量:3

Study on the Non-equilibrium Thermodynamic Theory of Neural Networks
下载PDF
导出
摘要  建立了神经网络的非平衡态热力学理论,给出了神经网络熵产生率,稳定条件及应用实例.为神经网络的研究增加了一种新方法,为人工神经网络的建模与应用提供了有益的信息. The non-equilibrium thermodynamic theory of artificial neural networks is introduced in this paper. The concepts of entropy production rate, network stability condition and its applications are given. All of them are the foundations of non-equilibrium thermodynamic theory of artificial neural networks, which will be a new approach in the study of artificial neural networks. The results are beneficial to the modeling and applications of artificial networks.
作者 刘晓娟
出处 《甘肃科学学报》 2005年第1期77-80,共4页 Journal of Gansu Sciences
基金 甘肃省自然科学基金(3ZS041-A25-024)
关键词 神经网络 非平衡态 热力学理论 Neural networks non-equilibrium thermodynamic theory
  • 相关文献

参考文献4

  • 1Hopfield J J, Tank D W. Neural Computation of Decision in Optimization Problem [J]. Biological Cybernetics, 1985, 52:141-152.
  • 2Kohonen T. An Introduction to Neural Computation[J]. Neural Networks,1988, 1(1) : 3-16 .
  • 3Aiyer S V B, Nirenjan M, Fallside F. A Theoretical Investigation Into the Performance of the Hopfield model[J]. IEEE Trans on Neural Networks, 1990, 1(2): 204-215.
  • 4Schmitt M. On the Sample Complexity of Learning for Networks of Spiking Neurons With Nonlinear Synaptic Interactions [J]. IEEE Trans on Neural Networks, 2004, 15 (5): 995-1001.

同被引文献34

引证文献3

二级引证文献13

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部