due to my study I have to write a term paper about "recent developments
in pattern recognition with ANNs". I found a couple of books (got around
15 at the moment) from authors like Bishop, Duda and so on. These books
are great but I need more sources, especially in the field of ANNs that
are able to "restore" patterns (like Boltzmann and Hopfield). It would
be great if somebody could point out some more resources (books, papers
etc. are appreciated)
Kind regards.
Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing by Emile Aarts
and Jan Korst (Paperback - Jan 1989). Not a lot has happened with BMs. Mean Field BMs seemed to show promise, but ...
T.
Otherwise, do a search on citeSeer, e.g.:
http://citeseer.ist.psu.edu/cis?q=boltzman+machine&cs=1
Best regards,
Stefan W. Christensen
Marcus,
Try:
http://citeseer.ist.psu.edu/
There good papers on the subject!
Rexsy
www.Rexsy.com
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Go to Google Web and search under
neuroprose archive
Hope this helps.
Greg
See what you can find for PNN (Probabilistic NN), WNN (Wavelet NN) and spectral-based neural
processing. Not much have happened, but there are some new algorithms that have proven very
robust for specific problems.
--
Harris