Neural Networks and Learning Machines

Neural Networks and Learning Machines pdf epub mobi txt 电子书 下载 2025

Simon O. Haykin
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Pearson 2008-11-28 Hardcover 9780131471399

具体描述

Simon Haykin,于1953年获得英国伯明翰大学博士学位,目前为加拿大McMaster大学电子与计算机工程系教授、通信研究实验室主任。他是国际电子电气工程界的*名学者,曾获得IEEE McNaughton金奖。他是加拿大皇家学会院士、IEEE会士,在神经网络、通信、自适应滤波器等领域成果颇丰,*有多部标准教材。

For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science. Renowned for its thoroughness and readability, this well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently.

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##Haykin's great book for ML, including various classic ML algorithms, but quite out-dated.

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##翻译烂!烂!烂! 随便举个例子: 8.2节,233页24行,译文 “注意到这种依赖或交互关系在本质上是确定的和静态的。” 原文(影印版section 8.2, p369) "Note also that this dependence or interaction may be deterministic or statistical in nature." statistical 是 “静态...  

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##神经网络不仅是现在的思维模式,计算机的将来计算模式,还是简单的细胞的运算模式。他们没有真正的思考,而是计算。计算是机器也能够做到的,因此不管人是否理解或者机器是否知道,都可以从容应对。而不知道的事物如此之多,因此不必担心他们会自动的进入圈套。他们不仅是可以...  

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