Principles of Neurocomputing for Science & Engineering
暫譯: 科學與工程的神經計算原則

Fredric M. Ham, Ivica Kostanic

  • 出版商: McGraw-Hill Education
  • 出版日期: 2001-03-01
  • 定價: $950
  • 售價: 9.8$931
  • 語言: 英文
  • 頁數: 642
  • 裝訂: Paperback
  • ISBN: 007118161X
  • ISBN-13: 9780071181617
  • 相關分類: 人工智慧Machine Learning
  • 立即出貨 (庫存=1)

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商品描述

This exciting new text covers artificial neural networks, but more specifically, neurocomputing. Neurocomputing is concerned with processing information, which involves a learning process within an artificial neural network architecture. This neural architecture responds to inputs according to a defined learning rule and then the trained network can be used to perform certain tasks depending on the application. Neurocomputing can play an important role in solving certain problems such as pattern recognition, optimization, event classification, control and identification of nonlinear systems, and statistical analysis. "Principles of Neurocomputing for Science and Engineering," unlike other neural networks texts, is written specifically for scientists and engineers who want to apply neural networks to solve complex problems. For each neurocomputing concept, a solid mathematical foundation is presented along with illustrative examples to accompany that particular architecture and associated training algorithm. The book is primarily intended for graduate-level neural networks courses, but in some instances may be used at the undergraduate level. The book includes many detailed examples and an extensive set of end-of-chapter problems.

商品描述(中文翻譯)

這本令人興奮的新書涵蓋了人工神經網絡,但更具體地說,是神經計算(neurocomputing)。神經計算關注於信息處理,這涉及到在人工神經網絡架構內的學習過程。這種神經架構根據定義的學習規則對輸入做出反應,然後訓練好的網絡可以根據應用執行某些任務。神經計算在解決某些問題方面可以發揮重要作用,例如模式識別、優化、事件分類、非線性系統的控制與識別,以及統計分析。《科學與工程的神經計算原理》(Principles of Neurocomputing for Science and Engineering)與其他神經網絡書籍不同,專門為希望應用神經網絡解決複雜問題的科學家和工程師而寫。對於每個神經計算概念,書中提供了堅實的數學基礎,並附有說明性範例,以配合特定的架構和相關的訓練算法。這本書主要針對研究生層級的神經網絡課程,但在某些情況下也可以用於本科層級。書中包含許多詳細的範例和一套廣泛的章末問題。