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{ "item_title" : "Neural Network Applications in Control", "item_author" : [" G. W. Irwin", "K. Warwick", "K. J. Hunt "], "item_description" : "Neural networks are an exciting technology of growing importance in real industrial situations, particularly in control and systems. This book aims to give a detailed appreciation of the use of neural nets in these applications; it is aimed particularly at those with a control or systems background who wish to gain an insight into the technology in the context of real applications. The book introduces a wide variety of network types, including Kohenen nets, n-tuple nets and radial basis function networks, as well as the more usual multi-layer perception back-propagation networks. It begins by describing the basic principles and some essential design features, then goes on to examine in depth several application studies illustrating a range of advanced approaches to the topic.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/85/296/852/0852968523_b.jpg", "price_data" : { "retail_price" : "165.00", "online_price" : "165.00", "our_price" : "165.00", "club_price" : "165.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Neural Network Applications in Control|G. W. Irwin

Neural Network Applications in Control

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Overview

Neural networks are an exciting technology of growing importance in real industrial situations, particularly in control and systems. This book aims to give a detailed appreciation of the use of neural nets in these applications; it is aimed particularly at those with a control or systems background who wish to gain an insight into the technology in the context of real applications.

The book introduces a wide variety of network types, including Kohenen nets, n-tuple nets and radial basis function networks, as well as the more usual multi-layer perception back-propagation networks. It begins by describing the basic principles and some essential design features, then goes on to examine in depth several application studies illustrating a range of advanced approaches to the topic.

This item is Non-Returnable

Details

  • ISBN-13: 9780852968529
  • ISBN-10: 0852968523
  • Publisher: Institution of Engineering & Technology
  • Publish Date: June 1995
  • Dimensions: 9.21 x 6.14 x 0.75 inches
  • Shipping Weight: 1.35 pounds
  • Page Count: 309

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