The HopField model is a distributed model of an associative memory. Neurons are pixels and can take the values of -1 (off) or +1 (on). The network has stored a certain number of pixel patterns. During a retrieval phase, the network is started with some initial configuration and the network dynamics evolves towards the stored pattern which is closest to the initial configuration.
標簽：
model
distributed
associative
HopField
上傳時間：
2015-06-17
上傳用戶：l254587896
