ANN

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

  • Threshold, sigmoidal, and radial  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

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s