Neural Network Learning: Theoretical Foundations
简介：
本书介绍了人工神经网络研究的最新理论进展。它探讨了监督学习问题的概率模型，并解决了关键的统计和计算问题。
英文简介：
This book describes recent theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions.
- 书名
- Neural Network Learning: Theoretical Foundations
- 译名
- 神经网络学习：理论基础
- 语言
- 英语
- 年份
- 1999
- 页数
- 404页
- 大小
- 9.25 MB
- 下载
Neural Network Learning: Theoretical Foundations.pdf- 密码
- 65536
最后更新：2025-04-12 23:57:33
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