Neural Networks: A Comprehensive Foundation, 2/e (精裝)
暫譯: 神經網絡：全面基礎，第2版 (精裝)
Simon Haykin
- 出版商: Prentice Hall
- 出版日期: 1998-07-16
- 售價: $1,029
- 語言: 英文
- 頁數: 842
- 裝訂: Hardcover
- ISBN: 0132733501
- ISBN-13: 9780132733502
-
其他版本:
Neural Networks and Learning Machines, 3/e (Hardcover)
買這商品的人也買了...
-
Computer Organization & Design: The Hardware/Software Interface, 2/e$1,200$1,176 -
$1,029Fundamentals of Data Structures in C -
Fundamentals of Database Systems, 3/e (平裝版)$1,090$1,068 -
Discrete-Time Signal Processing, 2/e (修訂版)$1,060$1,007 -
計算機組織與設計--軟硬體界面第二版 (Computer Organization & Design, 2/e)$680$537 -
Data Mining: Concepts and Techniques$2,660$2,527 -
ARM System-on-Chip Architecture, 2/e ( 美國原版)$2,870$2,727 -
$1,029Fundamentals of Logic Design, 4/e -
$1,029Operating System Concepts, 6/e -
C++ Primer, 3/e 中文版$980$774 -
$970Introduction to Algorithms, 2/e -
$931A First Course in Database Systems, 2/e -
Digital Image Processing, 2/e(IE)(美國版ISBN:0201180758)$1,150$1,127 -
$1,274Computer Architecture: A Quantitative Approach, 3/e(精裝本) -
$1,029Operating System Concepts, 6/e (Windows XP Update) -
JavaScript 範例活用辭典$450$351 -
Thinking in Java, 3/e$1,300$1,235 -
作業系統概念 (Operating System Concepts, 6/e Windows XP Update)$780$741 -
Java 完美經典優質學習篇$750$638 -
Red Hat Linux 9 實務應用$650$514 -
ASP.NET 程式設計徹底研究$590$466 -
STRUTS 實作手冊(Struts in Action: Building Web Applications with the Leading Java Framework)$690$538 -
重構─改善既有程式的設計$720$569 -
鳥哥的 Linux 私房菜─基礎學習篇增訂版$560$476 -
CCNA Self-Study: Interconnecting Cisco Network Devices (ICND) 640-811, 640-801, 2/e$2,390$2,271
相關主題
商品描述
Description:
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. Thoroughly revised.
Table of Contents:
1. Introduction.
2. Learning
Processes.
3. Single-Layer Perceptrons.
4.
Multilayer Perceptrons.
5. Radial-Basis Function
Networks.
6. Support Vector Machines.
7.
Committee Machines.
8. Principal Components
Analysis.
9. Self-Organizing Maps.
10.
Information-Theoretic Models.
11. Stochastic Machines & Their
Approximates Rooted in Statistical Mechanics.
12. Neurodynamic
Programming.
13. Temporal Processing Using Feedforward Networks.
14. Neurodynamics.
15. Dynamically Driven Recurrent Networks.
Epilogue.
Bibliography.
Index.
商品描述(中文翻譯)
描述：
適用於計算機工程、電機工程和計算機科學系的研究生級神經網絡課程。
這本以其徹底性和可讀性而聞名的教材，組織良好且完全更新，仍然是從工程角度對神經網絡的最全面的探討。經過徹底修訂。
目錄：
1. 介紹。
2. 學習過程。
3. 單層感知器。
4. 多層感知器。
5. 徑向基函數網絡。
6. 支持向量機。
7. 委員會機器。
8. 主成分分析。
9. 自組織映射。
10. 信息論模型。
11. 隨機機器及其基於統計力學的近似。
12. 神經動態編程。
13. 使用前饋網絡的時間處理。
14. 神經動力學。
15. 動態驅動的遞歸網絡。
尾聲。
參考文獻。
索引。
