A simplified neuron model as a principal component analyzer.
نویسنده
چکیده
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.
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ورودعنوان ژورنال:
- Journal of mathematical biology
دوره 15 3 شماره
صفحات -
تاریخ انتشار 1982