Principles of Artificial Neural Networks: Basic Designs to Deep Learning (4th Edition)

Daniel Graupe

  • 出版商: World Scientific Pub
  • 出版日期: 2019-04-15
  • 售價: $4,630
  • 貴賓價: 9.5$4,399
  • 語言: 英文
  • 頁數: 440
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9811201226
  • ISBN-13: 9789811201226
  • 相關分類: DeepLearning 深度學習
  • 下單後立即進貨 (約1週~2週)

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商品描述

The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.

This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks -- demonstrating how such case studies are designed, executed and how their results are obtained.

The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.