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Theoretical Approaches to On-line Learning in Smooth Multilayer Nets

机译：平滑多层网络中在线学习的理论方法

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On-line learning is one of the leading training techniques for neural networks. In this paper we will review recent theoretical approaches, based on methods from non-equilibrium statistical mechanics, for analysing on-line learning in multilayer neural network, concentrating on new approaches for defining optimal learning parameters or rules and on incorporating second order information into the learning process using natural gradient descent.

机译：在线学习是神经网络的主要培训技术之一。在本文中，我们将回顾基于非平衡统计力学方法的最新理论方法，以分析多层神经网络中的在线学习，重点研究定义最佳学习参数或规则的新方法，以及将二阶信息合并到模型中。使用自然梯度下降的学习过程。

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《Neural nets Wirn Vietri-98》|1998年|40-59|共20页
会议地点 Vietri sul Mare(IT)
作者
David Saad; Magnus Rattray;
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作者单位

Neural Computing Research Group, Aston University Birmingham, UK;

Neural Computing Research Group, Aston University Birmingham, UK;

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原文格式 PDF
正文语种 eng
中图分类自动化系统理论;
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专利

1. On-line learning from restricted training sets in multilayer neural networks [J] . Coolen ACC., Xiong YS., Saad D. EPL . 2000,第6期

机译：从多层神经网络的受限训练集中进行在线学习
2. Matrix-update for accelerated on-line learning in multilayer neural networks [J] . Bos S. Journal of Physics, A. Mathematical and General: A Europhysics Journal . 1998,第22期

机译：矩阵更新可加速多层神经网络的在线学习
3. On-line Gibbs learning. II. Application to perceptron and multilayer networks [J] . Kim JW., Sompolinsky H. Physical review, E. Statistical physics, plasmas, fluids, and related interdisciplinary topics . 1998,第2aPta2期

机译：在线吉布斯学习。二。在感知器和多层网络中的应用
4. Theoretical Approaches to On-line Learning in Smooth Multilayer Nets [C] . Workshop on neural nets . 1999

机译：平滑多层网在线学习的理论方法
5. Improving on-line training capacity of multilayer feedforward perceptron network for process control and optimization. [D] . Soleymani Yazdi, Mohammad R. 2003

机译：提高多层前馈感知器网络的在线培训能力，以进行过程控制和优化。
6. A deep learning-based method for grip strength prediction: Comparison of multilayer perceptron and polynomial regression approaches [O] . Jaejin Hwang, Jinwon Lee, Kyung-Sun Lee 2021

机译：基于深度学习的抓取强度预测方法：多层感知和多项式回归方法的比较
7. Matrix-Update for Accelerated On-line Learning in Multilayer Neural Networks [O] . Siegfried Bös, Siegfried B��os Y 1998

机译：多层神经网络中加速在线学习的矩阵更新
8. Comparative Study of NN and SVM-Based Electromagnetic Inverse Scattering Approaches to On-Line Detection of Buried Objects. [R] . Caorsi, S., Anguita, D., Bermani, E., 2003

机译：基于NN和sVm的电磁反散射方法在埋地物体在线检测中的比较研究。

Theoretical Approaches to On-line Learning in Smooth Multilayer Nets

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