Can you identify the additions you made to FuzzyJ ... they might be worth adding for everyone.
Thanks, bob. Bob Orchard National Research Council Canada Conseil national de recherches Canada Institute for Information Technology Institut de technologie de l'information 1200 Montreal Road, Building M-50 M50, 1200 chemin Montrial Ottawa, ON, Canada K1A 0R6 Ottawa (Ontario) Canada K1A 0R6 (613) 993-8557 (613) 952-0215 Fax / tilicopieur [EMAIL PROTECTED] Government of Canada | Gouvernement du Canada > -----Original Message----- > From: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] > Behalf Of Sionep > Sent: Thursday, March 25, 2004 4:33 AM > To: [EMAIL PROTECTED] > Subject: JESS: Article :- Adaptive Fuzzy Expert Systems > > > > Hi All, > > There is an article that might be interest to some > members of this list. The article is not Java or JESS > based but it gives good theoretical ground for developing > such systems using JESS + FuzzyJ and some extra numerical > computing code development effort. The title is : > > "Adaptive Fuzzy Expert Systems" > > The link is shown below, where the PDF file is found near > the bottom of the page for "Publication" section under > the "Journal Articles" sub-heading. > > http://www.aut.ac.nz/research_showcase/research_activity_areas > /kedri/rccidss.shtml#projects > > Adaptive Fuzzy Expert Systems has been done before in academic > and industry commercial applications but there are always new > techniques > emerging all the time. The numerical computing techniques used > was the "gradient descent" that is used in neural network multi-layer > perceptrons. > > The way I see state-of-the-art rule-based-systems currently > available or > up-and-coming systems will be shifted from static rule-based > systems to > ADAPTIVE (self-aware or self-tune) Expert systems. It will be > the norm > of the near future, and JESS + FuzzyJ will be right at it. > This is not > my prediction , it is the evolving trend at the moment as > seminars on > the subject are frequently announced for the "Soft-Computing" mailing > list from Berkeley. > > I have been interested in this subject (Adaptive or > Neuro-Fuzzy expert > system) for a while, and I am currently attempting to combine FuzzyJ > with JOONE (Java Object Oriented Neural Engine) which is an > open source > Java Neural Network API. My models works in MatLab but the > next step is > to try and replicate it in Java using FuzzyJ and JOONE, > because some of > the functions in MatLab Fuzzy Logic toolbox are not available > in FuzzyJ. > I have written some extra Java classes to supplement FuzzyJ. > Once FuzzyJ > and JOONE can work together and then the rest can be done with ease. > This means this neuro-fuzzy package will be easily > integrated with JESS > thus having the ability to develop adaptive fuzzy expert > systems in Java. > > One of the author's of the article Prof Nik Kasabov has been > using CLIPS > and FuzzyCLIPS in the past. I do not know whether he is using JESS or > not, because he indicated to me last year (2003) that he is > keen to get > his group (Knowledge Engineering Center) to adopt JESS. > > Cheers, > Sione. > > -------------------------------------------------------------------- > To unsubscribe, send the words 'unsubscribe jess-users > [EMAIL PROTECTED]' > in the BODY of a message to [EMAIL PROTECTED], NOT to the list > (use your own address!) List problems? Notify > [EMAIL PROTECTED] > -------------------------------------------------------------------- > -------------------------------------------------------------------- To unsubscribe, send the words 'unsubscribe jess-users [EMAIL PROTECTED]' in the BODY of a message to [EMAIL PROTECTED], NOT to the list (use your own address!) List problems? Notify [EMAIL PROTECTED] --------------------------------------------------------------------
