Neural Network Fundamentals and Applications (Q166502): Difference between revisions

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description / endescription / en
This cluster of papers covers a wide range of topics related to neural networks, including backpropagation learning, self-organizing maps, radial basis function networks, deep learning, and applications such as pattern classification and function app
Investigating the fundamentals and applications of neural networks.

Revision as of 13:04, 30 August 2024

Investigating the fundamentals and applications of neural networks.
  • Neural Networks
  • Self-Organizing Maps
  • Backpropagation Learning
  • Radial Basis Function Networks
  • Artificial Neural Networks
  • Recurrent Neural Networks
  • Feedforward Neural Networks
  • Pattern Classification
  • Function Approximation
Language Label Description Also known as
English
Neural Network Fundamentals and Applications
Investigating the fundamentals and applications of neural networks.
  • Neural Networks
  • Self-Organizing Maps
  • Backpropagation Learning
  • Radial Basis Function Networks
  • Artificial Neural Networks
  • Recurrent Neural Networks
  • Feedforward Neural Networks
  • Pattern Classification
  • Function Approximation

Statements

uses
deep learning
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