Neural Networks and Learning Machines, 3/e (Hardcover)
暫譯: 神經網絡與學習機器,第3版 (精裝本)

Simon O. Haykin

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商品描述

Fluid and authoritative, this well-organized book represents the first comprehensive treatment of neural networks and learning machines from an engineering perspective, providing extensive, state-of-the-art coverage that will expose readers to the myriad facets of neural networks and help them appreciate the technology's origin, capabilities, and potential applications. Examines all the important aspects of this emerging technology, covering the learning process, back propogation, radial basis functions, recurrent networks, self-organizing systems, modular networks, temporal processing, neurodynamics, and VLSI implementation. Integrates computer experiments throughout to demonstrate how neural networks are designed and perform in practice. Chapter objectives, problems, worked examples, a bibliography, photographs, illustrations, and a thorough glossary all reinforce concepts throughout. New chapters delve into such areas as support vector machines, and reinforcement learning/neurodynamic programming,  Rosenblatt’s Perceptron, Least-Mean-Square Algorithm, Regularization Theory, Kernel Methods and Radial-Basis function networks (RBF), and Bayseian Filtering for State Estimation of Dynamic Systems. An entire chapter of case studies illustrates the real-life, practical applications of neural networks. A highly detailed bibliography is included for easy reference. For professional engineers and research scientists.

 

Matlab codes used for the computer experiments in the text are available for download at: http://www.pearsonhighered.com/haykin/

商品描述(中文翻譯)

流暢且權威,這本組織良好的書籍是從工程學角度對神經網絡和學習機器的首次全面探討,提供廣泛的最先進覆蓋,讓讀者接觸到神經網絡的各種面向,並幫助他們理解這項技術的起源、能力和潛在應用。這本書檢視了這項新興技術的所有重要方面,涵蓋學習過程、反向傳播、徑向基函數、遞歸網絡、自組織系統、模組化網絡、時間處理、神經動力學以及VLSI實現。書中整合了計算機實驗,以展示神經網絡的設計和實際表現。每章的目標、問題、範例、參考書目、照片、插圖和詳細的術語表都強化了概念的理解。新章節深入探討支持向量機、強化學習/神經動力編程、Rosenblatt的感知器、最小均方算法、正則化理論、核方法和徑向基函數網絡(RBF)、以及動態系統的狀態估計的貝葉斯濾波。整個章節的案例研究展示了神經網絡的現實實用應用。書中還包含了詳細的參考書目,方便查閱。適合專業工程師和研究科學家。

文本中用於計算機實驗的Matlab代碼可在以下網址下載:http://www.pearsonhighered.com/haykin/