Answers.Body: <p>If it was based on how the human brain learns, it might have used <a href="https://en.wikipedia.org/wiki/Hebbian_theory" rel="noreferrer">hebbian learning</a>.</p>
  
  <p>One example for such a network would be <a href="https://en.wikipedia.org/wiki/Hierarchical_temporal_memory" rel="noreferrer">HTM</a>. </p>
  
Answers.ContentLicense: CC BY-SA 3.0
Answers.CreationDate: 2017-04-07T20:55:47.097Z
Answers.Text: Jeff Hawkin's book, *On Intelligence*, describes HTM generally.
Answers.UserDisplayName: scott
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Answers.CreationDate: 2017-04-01T19:08:52.283Z
Answers.LastActivityDate: 2017-04-01T19:08:52.283Z
Answers.UserDisplayName: BlindKungFuMaster
Answers.Body: <p>There are approaches to training neural networks that do not use back-propagation, or genetic algorithms. One example is the <a href="https://en.wikipedia.org/wiki/Extreme_learning_machine" rel="nofollow noreferrer">Extreme Learning Machine</a> approach. </p>
  
  <p>You may find something useful in this <a href="https://stats.stackexchange.com/questions/235862/is-it-possible-to-train-a-neural-network-without-backpropagation">older discussion on Cross Validated</a>.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-04-12T21:52:56.043Z
Answers.Text: What approach does ELM then use? I think it would be useful to say something about it.
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Answers.CreationDate: 2017-04-01T04:16:21.547Z
Answers.LastActivityDate: 2019-04-12T21:52:13.650Z
Answers.LastEditDate: 2019-04-12T21:52:13.650Z
Answers.UserDisplayName: mindcrime
Body: <p>I once came across a neural network being trained without back-propagation or genetic algorithms (or using any kind of data sets). It was based on how the human brain learns and adjusts its connections between neurons.</p>
  
  <p>What is the name of such a machine learning approach?</p>
  
Tags: <neural-networks><machine-learning><training><terminology><hebbian-learning>
Title: What is the name of a human-inspired machine learning approach?
UserDisplayName: Philogy
ThreadText: # What is the name of a human-inspired machine learning approach?
  
  (Asked by: username_0 on 2017-03-31)
  
  I once came across a neural network being trained without back-propagation or genetic algorithms (or using any kind of data sets). It was based on how the human brain learns and adjusts its connections between neurons.
  
  What is the name of such a machine learning approach?
  
  **Tags:** neural-networks, machine-learning, training, terminology, hebbian-learning
  
  
  ---
  
  ## 2 answers
  
  ### Answer by username_1 on 2017-04-01. Score: 6
  
  If it was based on how the human brain learns, it might have used [hebbian learning](https://en.wikipedia.org/wiki/Hebbian_theory).
  
  One example for such a network would be [HTM](https://en.wikipedia.org/wiki/Hierarchical_temporal_memory).
  
  > **Comments:**
  > **username_2**: Jeff Hawkin's book, *On Intelligence*, describes HTM generally.  
  
  ---
  
  ### Answer by username_3 on 2017-04-01. Score: 4
  
  There are approaches to training neural networks that do not use back-propagation, or genetic algorithms. One example is the [Extreme Learning Machine](https://en.wikipedia.org/wiki/Extreme_learning_machine) approach.
  
  You may find something useful in this [older discussion on Cross Validated](https://stats.stackexchange.com/questions/235862/is-it-possible-to-train-a-neural-network-without-backpropagation).
  
  > **Comments:**
  > **username_4**: What approach does ELM then use? I think it would be useful to say something about it.  
  
  ---
  
  