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    Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition)

Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition)

Daniel Graupe
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      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.
      Format: Hardback CONTRIBUTORS: Daniel Graupe EAN: 9789811201226 COUNTRY: Singapore PAGES: WEIGHT: 0 g HEIGHT: 0 cm
      PUBLISHED BY: World Scientific Publishing Co Pte Ltd DATE PUBLISHED: 2019-04-15 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Neural Networks WIDTH: 0 cm SPINE:

      Book Themes:

      Neural networks and fuzzy systems

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      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.
      Format: Hardback CONTRIBUTORS: Daniel Graupe EAN: 9789811201226 COUNTRY: Singapore PAGES: WEIGHT: 0 g HEIGHT: 0 cm
      PUBLISHED BY: World Scientific Publishing Co Pte Ltd DATE PUBLISHED: 2019-04-15 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Neural Networks WIDTH: 0 cm SPINE:

      Book Themes:

      Neural networks and fuzzy systems

      Customer Reviews

      Be the first to write a review
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