Abstract
In neural networks, network faults can be exhibited in different forms, such as node fault and weight fault. One kind of weight faults is due to the hardware or software precision. This kind of weight faults can be modelled as multiplicative weight noise. This paper analyzes the capacity of a bidirectional associative memory (BAM) affected by multiplicative weight noise. Assuming that weights are corrupted by multiplicative noise, we study how many number of pattern pairs can be stored as fixed points. Since capacity is not meaningful without considering the error correction capability, we also present the capacity of a BAM with multiplicative noise when there are some errors in the input pattern. Simulation results have been carried out to confirm our derivations.
Original language | English |
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Title of host publication | Neural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers |
Publisher | Springer |
Pages | 289-298 |
Number of pages | 10 |
Edition | PART 1 |
ISBN (Print) | 3540691545, 9783540691549 |
DOIs | |
Publication status | Published - 2008 |
Externally published | Yes |
Event | International Conference on Neural Information Processing 2007 - Kitakyushu, Japan Duration: 13 Nov 2007 → 16 Nov 2007 Conference number: 14th https://link.springer.com/book/10.1007/978-3-540-69158-7 (Proceedings) |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Number | PART 1 |
Volume | 4984 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | International Conference on Neural Information Processing 2007 |
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Abbreviated title | ICONIP 2007 |
Country/Territory | Japan |
City | Kitakyushu |
Period | 13/11/07 → 16/11/07 |
Internet address |
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