Simplified neuron model as a principal component analyzer
- Cite this article as:
- Oja, E. J. Math. Biology (1982) 15: 267. doi:10.1007/BF00275687
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.