A general regression neural network
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ID: 109987
1991
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Abstract
A memory-based network that provides estimates of continuous variables and converges to the underlying (linear or nonlinear) regression surface is described. The general regression neural network (GRNN) is a one-pass learning algorithm with a highly parallel structure. It is shown that, even with sp …
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| Reference Key |
df1991ieeea
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| Authors | Specht DF;; |
| Journal | IEEE Transactions on Neural Networks |
| Year | 1991 |
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