doug@feedme.UUCP (Doug Salot) (10/28/88)
I'm currently enrolled in a masters (CS) level neural-net review course,
and I offered to solicit the net for suggestions concerning successful
approaches and pedagogical tools for such a course. We're currently
using the PDP group's epic trilogy and a single ANZA system for
experimentation. Both have their problems, but I'd specifically
like to hear what has worked for you.
Any experience with Grossberg's "Neural Networks and Natural Intelligence"?
Other comprehensive books? Good simulation packages? (we've got Suns, Macs,
and PCs.) Projects or reading for CS types to understand the properties
of non-linear dynamical systems? Good examples for comparing traditional
solutions with network solutions?
Unfortunately, we're currently studying paradigms that are a couple of
years old and whose limitations are immediately apparent (Hopfield,
bam, backprop, simple competitive schemes, counterprop). What's
showing the most promise in terms of problem solving capability,
scalability, and efficiency (here, CS types' only concern with biological
feasibility is whether or not their brains can grok the stuff).
BTW, if any NN gods or daemons are planning on being in/around Orange
County (CA) in the next six weeks or so and feel like charming or
dissuading a small group of neural-netaly disenchanted (but latently
enthusiastic) students, we'd love to hear from you.
Yours for better credit assignment,
--
Doug Salot || doug@feedme.UUCP || ...{zardoz,dhw68k}!feedme!doug