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Generalized Hebbian Algorithm

Known as: GHA, Sanger's rule 
The Generalized Hebbian Algorithm (GHA), also known in the literature as Sanger's rule, is a linear feedforward neural network model for unsupervised… 
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Related topics

Related topics

9 relations
Artificial intelligenceBackpropagationFactor analysisFeedforward neural network

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Performance of Groundnut Husk Ash (GHA) - Rice Husk Ash (RHA) Modified Concrete in Acidic Environment
This paper presents the findings of an investigation on the compressive strength of concrete containing Groundnut Husk Ash (GHA… 
2013
2013
SOFTWARE DEVELOPMENT STUDIES ON THE METROLOGICAL CONVERSIONS FOR LOCAL AGRI-BUSINESS UNITS OF AREA AND VOLUME WEIGHT MEASURES
Bhuiyan MSA, Khan KA (2013) Software development studies on the metrological conversions for local agri-business units of area… 
2009
2009
Geno-mathematical identification of the multi-layer perceptron
  • R. Östermark
  • Neural computing & applications (Print)
  • 2009
  • Corpus ID: 23256634
In this paper, we will focus on the use of the three-layer backpropagation network in vector-valued time series estimation… 
Review
2009
Review
2009
A comparative analysis of select health facility survey methods applied in low and middle income countries.
A majority of health systems in developing countries have severe limitations in the technical expertise and research capacity… 
2009
2009
A fuzzy vector valued KNN-algorithm for automatic outlier detection
2006
2006
Predictability of the Normalized Difference Vegetation Index in Kenya and Potential Applications as an Indicator of Rift Valley Fever Outbreaks in the Greater Horn of Africa
In this paper the progress made in producing predictions of the Normalized Difference Vegetation Index (NDVI) over Kenya in the… 
2005
2005
Generalized hebbian algorithm for incremental latent semantic analysis
The Generalized Hebbian Algorithm is shown to be equivalent to Latent Semantic Analysis, and applicable to a range of LSAstyle… 
2000
2000
An Experimental Comparison of Three PCA Neural Networks
We present a numerical and structural comparison of three neural PCA techniques: The GHA by Sanger, the APEX by Kung and… 
1999
1999
Multi-track MIDI encoding algorithm based on GHA for synthesizing vocal sounds
MIDI interface is originally designed for electronic musical instrument but we consider this music-note based coding concept can… 
1998
1998
Extension of the generalized Hebbian algorithm for principal component extraction
Principal component analysis (PCA) plays an important role in various areas. In many applications it is necessary to adaptively… 
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