Boundedness of estimator with an improved back propagation algorithm
This paper proposes a novel learning algorithm with a variable learning gain and a /spl sigma/-modification term for a multilayered neural network. The learning gain is decided by the 'Levenberg-Marquardt' algorithm, which is a nonlinear least squares method. The boundedness of the weighti...
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| Vydáno v: | Proceedings of the 1996 IEEE IECON : 22nd International Conference on Industrial Electronics, Control, and Instrumentation Ročník 1; s. 309 - 314 vol.1 |
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| Hlavní autoři: | , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
IEEE
1996
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| ISBN: | 0780327756, 9780780327757 |
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| Abstract | This paper proposes a novel learning algorithm with a variable learning gain and a /spl sigma/-modification term for a multilayered neural network. The learning gain is decided by the 'Levenberg-Marquardt' algorithm, which is a nonlinear least squares method. The boundedness of the weightings is shown from a viewpoint of the robust adaptive control theory and a relationship between data sizes and learning rates is considered. Furthermore, simple numerical simulations are presented to show the efficiency of the proposed learning algorithm. |
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| AbstractList | This paper proposes a novel learning algorithm with a variable learning gain and a /spl sigma/-modification term for a multilayered neural network. The learning gain is decided by the 'Levenberg-Marquardt' algorithm, which is a nonlinear least squares method. The boundedness of the weightings is shown from a viewpoint of the robust adaptive control theory and a relationship between data sizes and learning rates is considered. Furthermore, simple numerical simulations are presented to show the efficiency of the proposed learning algorithm. |
| Author | Shin, S. Ikeda, K. |
| Author_xml | – sequence: 1 givenname: K. surname: Ikeda fullname: Ikeda, K. organization: Dept. of Math. Eng. & Inf. Phys., Tokyo Univ., Japan – sequence: 2 givenname: S. surname: Shin fullname: Shin, S. |
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| Snippet | This paper proposes a novel learning algorithm with a variable learning gain and a /spl sigma/-modification term for a multilayered neural network. The... |
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| StartPage | 309 |
| SubjectTerms | Adaptive control Education Filters Gain Multi-layer neural network Neural networks Neurons Physics Robust control Upper bound |
| Title | Boundedness of estimator with an improved back propagation algorithm |
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