神经网络系统学习过程初探
A Tentative Investigation of the Learning Process of A Nerual Network System
-
摘要: 本文给出了神经网络系统学习过程的一个随机模型--马尔柯夫模型,从最大熵原理的 观点讨论神经网络系统的学习过程,提出将神经网络系统的学习过程分为两个阶段的想法并 给出学习过程的算法.Abstract: In this paper, a Markov process model for the learning process in a neural network is given. A two stage-procedure and related algorithm for the learning process is suggested.
-
Key words:
- Maximum entropy /
- neural network /
- learning process
计量
- 文章访问数: 2590
- HTML全文浏览量: 149
- PDF下载量: 1327
- 被引次数: 0