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Principles of artificial neural networks.

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...

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Principles of artificial neural networks

   13.04.2020  1 Comments
Expert on Principles of artificial neural networks

soft computing lecture - hour 9: Artificial Neural Networks - Back Propagation and Design Principles
Principles of artificial neural networks

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Principles of artificial neural networks
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Basic Learning Principles of Artificial Neural Networks

  • 3: Principles of Artificial Neural Networks by D Graupe. Vol. 4: Computer-Aided Design of Communication Networks by Y-S Zhu &...
  • The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence...
  • Usually, a neural network model takes an input vector X and produces output vector Y.
  • Artificial neural networks (ANNs), as an emerging discipline, studies or emulates the information processing capabilities...

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Principles of artificial neural networks

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1 thoughts on “Principles of artificial neural networks

  1. Due to the recent trend of intelligent systems and their ability to adapt with varying conditions, deep learning becomes very attractive for many researchers.

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