Parallelizing Feed-Forward Artificial Neural Networks on Transputers
نویسندگان
چکیده
منابع مشابه
Learning in Feed-Forward Artificial Neural Networks I
The view of artificial neural networks as adaptive systems has lead to the development of ad-hoc generic procedures known as learning rules. The first of these is the Perceptron Rule (Rosenblatt, 1962), useful for single layer feed-forward networks and linearly separable problems. Its simplicity and beauty, and the existence of a convergence theorem made it a basic departure point in neural lea...
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ژورنال
عنوان ژورنال: DAIMI Report Series
سال: 1991
ISSN: 2245-9316,0105-8517
DOI: 10.7146/dpb.v20i369.6601