Articles listed below focus on analysis and applications of neural network systems originally developed by CELEST faculty, including ART, ARTMAP, and BCS/FCS.
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Topics:
Mathematical Foundations of Neural Networks,
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Author(s) |
Grossberg, S. |
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Abstract |
This paper studies the following system of nonlinear difference-differentialequations: [...](3)where i, j, k = 1, 2,..., n, and /3 0. We will establish global limit andoscillation theorems for the nonnegative solutions of ... |
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Categories |
Topics:
Mathematical Foundations of Neural Networks,
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Author(s) |
Grossberg, S. |
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Abstract |
In this paper, we study some systems of nonlinear functional-differentialequations of the form X(t) = AX(t) + B(X,) X(t - r) + C(t), t 0, (1)which ... |
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Categories |
Topics:
Mathematical Foundations of Neural Networks,
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Author(s) |
Grossberg, S. |
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Abstract |
Introduction.-This note introduces some nonlinear difference-differential equations which can be interpreted as a learning theory or, alternatively, as a prediction theory whose goal is to discuss the prediction of ... |
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