期刊文献+

混合学习模式ANN组合的研究

Research on the Combination of ANN with Hybrid Learning Pattern
下载PDF
导出
摘要 无监督及监督式两种学习模式网络的组合 ,能够解决单一模式难以模拟的问题 ,因而功能更强 ,适用面更广。本文在探讨这种组合网络特点的基础上 ,提出组合的一般框图及相应的实现方式 ,并结合具体问题对其性能作了讨论。 The combination of ANN with hybrid learning patters can be used to solve some problems which can not be solved by the ANN with single learning patter, which shown that they have stronger function and wider application area than they do. In this paper ,the general frame and relating applicable ways have been set up ,based on to discuss these features of combination ANN,and the performance of hybrid net have been analysed by combining their real problems. [
作者 钟清流
出处 《微机发展》 2001年第1期58-61,共4页 Microcomputer Development
基金 湖南省科技厅自然科学基金资助
关键词 人工神经网络 混合学习模式 学习算法 语音识别 Artifical Neural Network(ANN) Hybrid Learning Patters
  • 相关文献

参考文献3

  • 1[1]Keogh, E. & Pazzani, M. (1999). Relevance Feedback Retrieval of Time Series Data. The Twenty-Second Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval.
  • 2[2]Mani, S., Shankle, R., Dick, M and Pazzani, M. (1999) Two-Stage Machine Learning Model for Guideline Development Artificial Intelligence in Medicine, 16, 51-80.
  • 3[3]Bay, S. D. (1998). Combining Nearest Neighbor Classifiers Through Multiple Feature Subsets. Proceedings of the International Conference on Machine Learning. Morgan Kaufmann Publishers. Madison, Wisc.

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