Artificial neural networks are often understood as a good way to imitate mind through the web structure ofneurons in brain, but the very high complexity of human brain prevents to consider neural networks as good modelsfor human mind;anyway neural networks are good devices for computation in parallel. The difference betweenfeed-forward and feedback neural networks is introduced; the Hopfield network and the multi-layers Perceptron arediscussed. In a very weak isomorphism (not similitude) between brain and neural networks, an artificial form of shortterm memory and of acknowledgement, in Elman neural networks, is proposed.
|Numero di pagine||3|
|Rivista||JOURNAL OF COMPUTER SCIENCE AND SYSTEMS BIOLOGY|
|Stato di pubblicazione||Published - 2015|