ANN

https://pdfs.semanticscholar.org/a98f/b04c9bdf7c52f53658bc5d8219482bf7d646.pdf?_ga=2.192594538.1109227469.1517872902-315189295.1517872902

  • Threshold, sigmoidal, and radialĀ  function
  • Error back-propagation (supervised)
  • Kohonen ANN (unsupervised)
    • correction made around central neuron, c, in each layer
  • Counter-propagation ANN (unsupervised)
    • weights adapt to target values instead of input values
    • all weights carry values related to variables

https://www.sciencedirect.com/science/article/pii/S1214021X14600570

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