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- Generalized_Hebbian_Algorithm abstract "The Generalized Hebbian Algorithm (GHA), also known in the literature as Sanger's rule, is a linear feedforward neural network model for unsupervised learning with applications primarily in principal components analysis. First defined in 1989, it is similar to Oja's rule in its formulation and stability, except it can be applied to networks with multiple outputs. The name originates because of the similarity between the algorithm and a hypothesis made by Donald Hebb about the way in which synaptic strengths in the brain are modified in response to experience, i.e., that changes are proportional to the correlation between the firing of pre- and post-synaptic neurons.".
- Generalized_Hebbian_Algorithm wikiPageID "14402929".
- Generalized_Hebbian_Algorithm wikiPageLength "5115".
- Generalized_Hebbian_Algorithm wikiPageOutDegree "19".
- Generalized_Hebbian_Algorithm wikiPageRevisionID "689581895".
- Generalized_Hebbian_Algorithm wikiPageWikiLink Artificial_intelligence.
- Generalized_Hebbian_Algorithm wikiPageWikiLink Artificial_neural_network.
- Generalized_Hebbian_Algorithm wikiPageWikiLink Backpropagation.
- Generalized_Hebbian_Algorithm wikiPageWikiLink Category:Artificial_neural_networks.
- Generalized_Hebbian_Algorithm wikiPageWikiLink Diagonalizable_matrix.
- Generalized_Hebbian_Algorithm wikiPageWikiLink Donald_O._Hebb.
- Generalized_Hebbian_Algorithm wikiPageWikiLink Factor_analysis.
- Generalized_Hebbian_Algorithm wikiPageWikiLink Feedforward_neural_network.
- Generalized_Hebbian_Algorithm wikiPageWikiLink Gram–Schmidt_process.
- Generalized_Hebbian_Algorithm wikiPageWikiLink Hebbian_theory.
- Generalized_Hebbian_Algorithm wikiPageWikiLink Neuron.
- Generalized_Hebbian_Algorithm wikiPageWikiLink Ojas_rule.
- Generalized_Hebbian_Algorithm wikiPageWikiLink PCA_network.
- Generalized_Hebbian_Algorithm wikiPageWikiLink Principal_component_analysis.
- Generalized_Hebbian_Algorithm wikiPageWikiLink Self-organizing_map.
- Generalized_Hebbian_Algorithm wikiPageWikiLink Synaptic_weight.
- Generalized_Hebbian_Algorithm wikiPageWikiLink Unsupervised_learning.
- Generalized_Hebbian_Algorithm wikiPageWikiLinkText "Generalized Hebbian Algorithm".
- Generalized_Hebbian_Algorithm wikiPageUsesTemplate Template:=.
- Generalized_Hebbian_Algorithm wikiPageUsesTemplate Template:Math.
- Generalized_Hebbian_Algorithm wikiPageUsesTemplate Template:Reflist.
- Generalized_Hebbian_Algorithm subject Category:Artificial_neural_networks.
- Generalized_Hebbian_Algorithm hypernym Model.
- Generalized_Hebbian_Algorithm type Person.
- Generalized_Hebbian_Algorithm type Network.
- Generalized_Hebbian_Algorithm comment "The Generalized Hebbian Algorithm (GHA), also known in the literature as Sanger's rule, is a linear feedforward neural network model for unsupervised learning with applications primarily in principal components analysis. First defined in 1989, it is similar to Oja's rule in its formulation and stability, except it can be applied to networks with multiple outputs.".
- Generalized_Hebbian_Algorithm label "Generalized Hebbian Algorithm".
- Generalized_Hebbian_Algorithm sameAs Q5532437.
- Generalized_Hebbian_Algorithm sameAs m.03d2hw5.
- Generalized_Hebbian_Algorithm sameAs Q5532437.
- Generalized_Hebbian_Algorithm wasDerivedFrom Generalized_Hebbian_Algorithm?oldid=689581895.
- Generalized_Hebbian_Algorithm isPrimaryTopicOf Generalized_Hebbian_Algorithm.