A5V@psuvm.psu.edu (10/07/90)
I WOULD APPRECIATE RECEIVING REFERENCES ON INTEGRATION OF NEURAL
NETS AND EXPERT SYSTEMS. I WILL POST REPLIES ON THIS GROUP.
THANKS
AL VALBUENA
PENN STATE UNIVERSITYraj@utkux1.utk.edu (Rajendra Patil) (04/04/91)
Hi friends: Anyone working with connectionist expert systems (S. Gallant) I will like to get some idea about the details of implementations. Almost any information (references, code etc) is appreciated. Thanks in advance Regards. Raj =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= It's not know-how that counts, it's know when. Garald Weinberg. ------------------------------------------------------ The World & I Rajendra Patil -- email: raj@utkux1.utk.edu 305, Pasqua Engg. Bldg -- ph: 615-974-0667 (work) Center for Neural Engg. and Applications.-- 615-524-8836 (home) Univ. of Tennessee, Knoxville, TN 37902. -- =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
lau@cs.umn.edu (Patrick Lau) (04/05/91)
In article <1991Apr4.074916.28091@cs.utk.edu> raj@utkux1.utk.edu (Rajendra Patil) writes: >Hi friends: > > Anyone working with connectionist expert systems (S. Gallant) >I will like to get some idea about the details of implementations. >Almost any information (references, code etc) is appreciated. > I would also like to have that information, too. Thanks. -- ------------------------------------------------------------- Patrick Lau Computer Science Department lau@umn-cs.cs.umn.edu University of Minnesota ...!rutgers!umn-cs!lau Minneapolis, MN 55455
ms@thalamus.sans.kth.se (Magnus Stensmo) (04/29/91)
In article <1991Apr4.074916.28091@cs.utk.edu> raj@utkux1.utk.edu (Rajendra Patil) writes: >Hi friends: > > Anyone working with connectionist expert systems (S. Gallant) >I will like to get some idea about the details of implementations. >Almost any information (references, code etc) is appreciated. > The following paper is accepted for oral presentation at the International Conference on Artificial Neural Networks ICANN-91 in Helsinki, Finland, June 24-28, 1991 A QUERY-REPLY SYSTEM BASED ON A RECURRENT BAYESIAN NEURAL NETWORK Magnus Stensmo, Anders Lansner, and Bj\"orn Levin Studies of Artificial Neural Systems Department of Numerical Analysis and Computing Science Royal Institute of Technology, S-100 44 Stockholm, Sweden Abstract A query-reply system based on a fully-connected recurrent Bayesian neural network is presented. A database describing the classes to classify and their attributes is loaded onto the network. Each attribute and class are coded using two network units, where one unit represents the existence of an attribute or class and the other its non-existence. Initially the system asks about the property it is most undetermined about. After a while a hypothesis is formed and a verifying question phase is entered. Inconsistencies in user input are detected and corrected. The paper is available using anonymous ftp from thalamus.sans.kth.se as pub/ms-icann91.ps.Z If this fails please send me mail or e-mail and I will post it to you. Please try ftp first as stamps are expensive to us. Magnus Stensmo ms@sans.kth.se Dept. of Numerical Analysis and Computing Science ms%sans@sekth.bitnet Royal Institute of Technology Phone: +46 8 790 6908 S-100 44 Stockholm, Sweden Fax: +46 8 790 0930 -- Magnus Stensmo ms@sans.kth.se Dept. of Numerical Analysis and Computing Science ms%sans@sekth.bitnet Royal Institute of Technology Phone: +46 8 790 6908 S-100 44 Stockholm, Sweden Fax: +46 8 790 0930