Simplified neuron model as a principal component analyzer
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- Oja, E. J. Math. Biology (1982) 15: 267. doi:10.1007/BF00275687
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A simple linear neuron model with constrained Hebbian-type synaptic modification is analyzed and a new class of unconstrained learning rules is derived. It is shown that the model neuron tends to extract the principal component from a stationary input vector sequence.