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Analogue Imprecision In Mlp Training, Progress In Neural Processing, Vol 4 - Progress In Neural Processing Peter J. Edwards
Analogue Imprecision In Mlp Training, Progress In Neural Processing, Vol 4 - Progress In Neural Processing
Peter J. Edwards
Hardware inaccuracy and imprecision are important factors when implementing neural algorithms. This text presents a study of synaptic weight noise as a typical fault model for analogue VLSI realizations of MLP neural networks, and examines the implications for learning and network performance.
192 pages, bibliography, index
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 1996年8月1日 |
| ISBN13 | 9789810227395 |
| 出版社 | World Scientific Publishing Co Pte Ltd |
| ページ数 | 192 |
| 寸法 | 150 × 220 × 20 mm · 460 g (重量（概算）) |
| 編集者 | Edwards, Peter J. |
| 編集者 | Murray, A.f. |
