Free
EE Course eNotes
Principles of Artificial Neural Networks: for Scientists, Engineers
and Others
Anthony Zaknich
AZTRONIX, 2004
This course
provides a theoretical and practical introduction to the principles and
application of both supervised and unsupervised learning neural networks for
pattern recognition and signal processing. It has been used by both
undergraduate and postgraduate students, unfamiliar with neural networks, who
were able to pick up enough details to successfully complete their neural
networks projects. There are practical hints, design rules,
and examples provided to aid understanding and application. (This is
an updated version of the course that was previously available on the web at http://www.maths.uwa.edu.au/~rkealley/ann_all/ann_all.html )
