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Self-Organizing Maps: Topological Neighbourhood Function Quiz
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Self-Organizing Maps: Topological Neighbourhood Function Quiz

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Questions and Answers

What does a shorter distance between data points and codevectors indicate?

  • More epochs needed
  • Better representation (correct)
  • Poor representation
  • Higher learning rates
  • What do codevectors represent in self-organising approaches?

  • Weights
  • Epochs
  • Data points (correct)
  • Learning rates
  • What is the purpose of Neural Gas in self-organising approaches?

  • To determine the number of epochs
  • To introduce randomness in learning
  • To control the learning rate
  • To model the topological structure of data (correct)
  • In self-organising approaches, what is a key characteristic of codevectors?

    <p>They are trainable parameters</p> Signup and view all the answers

    How does Neural Gas use Hebbian Learning in self-organising approaches?

    <p>To introduce edges between codevectors based on learning rate</p> Signup and view all the answers

    What is the fundamental idea behind building a model using Neural Gas in self-organising approaches?

    <p>Creating a graph between codevectors to model topology</p> Signup and view all the answers

    How are elements of Simple Competitive Learning reused in Neural Gas in self-organising approaches?

    <p>By using learning rates to modify the winner take all process</p> Signup and view all the answers

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