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- egee-529 - principles-of-neural-systems
California State University-Fullerton Course Info
Fullerton, California
Course Info
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EGEE 529
Principles of Neural Systems
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
Units: 3.0
Prerequisites:
EGEE 409 - Introduction to Linear Systems
and
EGEE 310 - Electronic Circuits