FREE delivery to all EXCLUSIVE BOOKS stores nationwide. FREE delivery to your door on all orders over R450. Excludes all international deliveries.

Artificial Intelligence Systems Based on Hybrid Neural Networks

Michael Zgurovsky
    Product form
      FORMAT: Paperback / softback

      R 6,686.14 Price and availability exclusive to website

      YOU COULD EARN 6,686.14 FUTURE RETAIL DISCOUNTS.
      ESTIMATED DELIVERY: Approx. 10 - 15 Business Days
      BUY NOW PAY LATER
      From R 1,114.35 per month!
      3x monthly payments of R 2,228.71 with
      4x fortnightly payments of R 1,671.53 with
      This book is intended for specialists as well as students and graduate students in the field of artificial intelligence, robotics and information technology. It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems. One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning. Unfortunately, there is currently no universal methodology for developing topologies of hybrid neural networks (HNN) using deep learning.  The development of such systems calls for the expansion of the use of neural networks (NS) for solving recognition, classification and optimization problems. As such, it is necessary to create a unified methodology for constructing HNN with a selection of models of artificial neurons that make up HNN, gradually increasing the complexity of their structure using hybrid learning algorithms. 
      Format: Paperback / softback CONTRIBUTORS: Michael Zgurovsky EAN: 9783030484552 COUNTRY: Switzerland PAGES: WEIGHT: 801 g HEIGHT: 235 cm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2021-09-04 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, TECHNOLOGY & ENGINEERING / Engineering (General) WIDTH: 155 cm SPINE:

      Book Themes:

      Artificial intelligence

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      This book is intended for specialists as well as students and graduate students in the field of artificial intelligence, robotics and information technology. It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems. One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning. Unfortunately, there is currently no universal methodology for developing topologies of hybrid neural networks (HNN) using deep learning.  The development of such systems calls for the expansion of the use of neural networks (NS) for solving recognition, classification and optimization problems. As such, it is necessary to create a unified methodology for constructing HNN with a selection of models of artificial neurons that make up HNN, gradually increasing the complexity of their structure using hybrid learning algorithms. 
      Format: Paperback / softback CONTRIBUTORS: Michael Zgurovsky EAN: 9783030484552 COUNTRY: Switzerland PAGES: WEIGHT: 801 g HEIGHT: 235 cm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2021-09-04 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, TECHNOLOGY & ENGINEERING / Engineering (General) WIDTH: 155 cm SPINE:

      Book Themes:

      Artificial intelligence

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)

      Recently viewed products

      Login

      Forgot your password?

      Don't have an account yet?
      Create account