EGEE 529 - Principles of Neural Systems (3)

Principles of neural systems and their hardware implementation. Basic properties, discrete and continuous bidirectional associative memories. Temporal associative memories. Neural nets classifiers, perceptrons, supervised and unsupervised learning. Forward and backward propagation. Electrical models of neural networks using op-amp., analog VLSI.

PrerequisitesEGEE 310 , EGEE 409  

Print-Friendly Page (opens a new window)