The effects of linear quantized Hebbian-type associative memories (HAMs) on storage capacity and hardware implementations are explored in this paper. For the linear quantization, the interconnection weights are linearly quantized into a small number of levels. This consideration focuses mainly on the situation when only a limited accuracy range can be achieved on hardware implementations. Results of simulation and theory show that the number of quantization levels required is relatively small compared with the possible values of interconnections. Therefore, linear quantization in HAMs is worthwhile in hardware implementations.
|出版狀態||Published - 1994 十二月 1|
|事件||Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7) - Orlando, FL, USA|
持續時間: 1994 六月 27 → 1994 六月 29
|Other||Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7)|
|城市||Orlando, FL, USA|
|期間||94-06-27 → 94-06-29|
All Science Journal Classification (ASJC) codes