rinciples of Artificial Neural Networks (3rd Edition) (Advanced Circuits and Systems
暫譯: 人工神經網路原理（第三版）（進階電路與系統）

Daniel Graupe

rinciples of Artificial Neural Networks (3rd Edition) (Advanced Circuits and Systems
  • 出版商: World Scientific Pub
  • 出版日期: 2013-08-11
  • 售價: $5,370
  • 貴賓價: 9.5 折 $5,102
  • 語言: 英文
  • 頁數: 384
  • 裝訂: Hardcover
  • ISBN: 9814522732
  • ISBN-13: 9789814522731

    • 已過版

相關主題

商品描述

Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.

This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained.

The book is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks.

商品描述(中文翻譯)

人工神經網路最適合用來解決複雜、模糊、高度非線性、具有多種不同變數和/或隨機性的問題。這類問題在醫學、金融、安全等領域中隨處可見。

本書涵蓋了主要人工神經網路的基本理論和架構。獨特之處在於，它提供了18個完整的案例研究，展示了神經網路在各個領域的應用，範圍從細胞形狀分類到金融中的微交易，再到星座識別，並附有各自的源代碼。這些案例研究詳細展示了這些研究是如何設計和執行的，以及如何獲得其特定結果。

本書適用於一學期的研究生或高年級本科生的人工神經網路課程。

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