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Arrangement of nodes and pattern of connection links between them in a neural network . |
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Plan for systematic reduction of temperature parameter in a neural network that uses simulated annealing. |
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A computational procedure; a neural net training algorithm is a step by step procedure for setting the weights of the net .Training algorithms are also known as learning rules. |
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Adaptive resonance theory is a quantitative explanation of learning and memory developed by Gail Carpenter, Stephen Grossberg and others. ART1 and ART2 are neural net architectures based on adaptive resonance theory. each of thess neural nets self-organizes the input data into categories with the variation allowed within a category depending on a user selected vigilance parameter . ART1 is used for binary input, ART2 for continuous input [Carpenter & Grossberg, 1987a, 1987b]. |
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Developed by Bernard Widrow, an Adaline''s output is +1 if the weighted sum of its input is greater than a threshold, -1 otherwise. The weights are calculated by the delta rule, which is also known as the Widrow Hoff rule [ Widrow Y Hoff. 1960]. |
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