Neural networks with robust backpropagation learning algorithm
A robust error suppressor function, which is independent of the underlying probability density function and convenient for computer programs, is proposed to robustify the backpropagation learning algorithm of multilayer feedforward networks. Its performance is studied for simulated data sets.
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| Published in: | Analytica chimica acta Vol. 322; no. 1; pp. 21 - 29 |
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| Format: | Journal Article |
| Language: | English |
| Published: |
Amsterdam
Elsevier B.V
1996
Elsevier |
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| ISSN: | 0003-2670, 1873-4324 |
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| Abstract | A robust error suppressor function, which is independent of the underlying probability density function and convenient for computer programs, is proposed to robustify the backpropagation learning algorithm of multilayer feedforward networks. Its performance is studied for simulated data sets. |
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| AbstractList | A robust error suppressor function, which is independent of the underlying probability density function and convenient for computer programs, is proposed to robustify the backpropagation learning algorithm of multilayer feedforward networks. Its performance is studied for simulated data sets. |
| Author | Walczak, B. |
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| Keywords | Neural networks Robust backpropagation learning algorithm Chemometrics Learning Multiple layer Robustness Neural network Feedforward Algorithm |
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| SubjectTerms | Analytical chemistry Chemistry Chemometrics Exact sciences and technology General, instrumentation Neural networks Robust backpropagation learning algorithm |
| Title | Neural networks with robust backpropagation learning algorithm |
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