| Presentation | 1995/6/16 Performance of Hierarchical Fractal Neural Net B. Chakraborty, Y. Sawada, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Hierarchical nets having sparse and localized connectivity with fractal connections within layers have been studied. The performance of the proposed net in classification problem has been compared to that of fully connected multilayer perceptron and randomly connected sparse net with artificially generated fractal data set and a real data set derived from sonar signals for underwater target recognition. A simple version of backpropagation algorithm has been used to train all the nets. Fractal net seems to be far better than randomly connected sparse nets in fractal pattern recognition. For the second data set fractally connected nets performs well compared to fully connected net as fractal dimension is increased above 0. 75. Moreover fractal net seems to possess more generalization capability compared to fully connected net in recognizing patterns other than training patterns. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Hierarchical net / Fractal connection / Sparse net / Classification |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 1995/6/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Nonlinear Problems (NLP) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Performance of Hierarchical Fractal Neural Net |
| Sub Title (in English) | |
| Keyword(1) | Hierarchical net |
| Keyword(2) | Fractal connection |
| Keyword(3) | Sparse net |
| Keyword(4) | Classification |
| 1st Author's Name | B. Chakraborty |
| 1st Author's Affiliation | Research Center for Electrical Communication Tohoku University() |
| 2nd Author's Name | Y. Sawada |
| 2nd Author's Affiliation | Research Center for Electrical Communication Tohoku University |
| Date | 1995/6/16 |
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| Volume (vol) | vol.95 |
| Number (no) | 92 |
| Page | pp.pp.- |
| #Pages | 7 |
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