Some notes on perceptron learning
نویسندگان
چکیده
منابع مشابه
Some notes on perceptron learning
We extend the geometkcal approach to the Perceptron and show that. given n examples, learning is of maximal difficulty when the number of inputs dis such that n = 5d. We then present a nea' Perceptron algorithm that takes advantage of the peculiarities of the cost function. In our tests it is more than two times faster that the standard algorithm. More importantly it does not have k e d paramet...
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ژورنال
عنوان ژورنال: Journal of Physics A: Mathematical and General
سال: 1993
ISSN: 0305-4470,1361-6447
DOI: 10.1088/0305-4470/26/17/030