## Abstract

The performance of Hebbian-type associative memories (HAMs) in the presence of faulty interconnections is examined, and equations for predicting network reliability are developed. Several HAM operating modes, i.e., zero or nonzero autoconnections (ZA or NZA), bipolar or unipolar network inputs, asynchronous or synchronous operation, have been investigated. Networks with NZA and bipolar inputs have the best performance in both capacity and reliability. Based on this type of network, an equation relating the probability of direct one-step convergence, P_{dc}, to the percentage of failed connections is derived. For a connection failure rate of up to 50%, this equation can estimate P_{dc} accurately. The results of the authors' theoretical investigation show that reliability becomes poorer when the network size increases; hence, reducing the percentage of failed connections becomes very important in physical implementations of large networks. Also, as the number of stored vectors increases, the network reliability decreases. Simulation results indicate that asynchronous-mode and synchronous-mode operation have the same P_{dc} and reliability when there are no error bits in the probe vector, but networks operating in the asynchronous mode have higher P_{dc} and better reliability when the number of input errors increases. Reliability measures for second-order HAMs are also investigated.

Original language | English |
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Title of host publication | 90 Int Jt Conf Neural Networks IJCNN 90 |

Publisher | Publ by IEEE |

Pages | 847-852 |

Number of pages | 6 |

Publication status | Published - 1990 |

Event | 1990 International Joint Conference on Neural Networks - IJCNN 90 - San Diego, CA, USA Duration: 1990 Jun 17 → 1990 Jun 21 |

### Other

Other | 1990 International Joint Conference on Neural Networks - IJCNN 90 |
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City | San Diego, CA, USA |

Period | 90-06-17 → 90-06-21 |

## All Science Journal Classification (ASJC) codes

- Engineering(all)