classification using fuzzy network

I am working on fuzzy min max neural network,I have not found any codes and documents,is fuzzy neural network and fuzzy min max neural network are same?,kindly help me to start the process,I am working on fisheriris dataset.kindly provide assistance

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thanks walter can u help me with some codes
I could no get through the link
Firefox can't establish a connection to the server at spyebook.org.
Hmmm. If you disable ad blocking (especially AdBlock Plus) then you might be able to get through. However, it will want you to "complete a free offer" (i.e., spend your time going through an advertising offer) before it will let you download. So I wouldn't bother.
I am trying this for around a week,but could did not get any idea to start with,can u help me in starting the codes
Hello Kash,
I am also working on same algorithm, I followed following steps, you should at least try it:
1) I/P:- enter class, dimension, flags.
2) Intilization :- enter theta, intial min and max values in terms of zeros
3) Training :- use two for loops for training using pattern set i/p, flag, and expand condition.
4) Finding HB mem. function value
5) If HB satisfies expansion criteria then create new HB or contraction
6) Final Layer Program i.e. define U and use four for loops to find output class of input patterns.
Hope This helps you to classify I/P patterns.
Please help me how to find the overlapping cases in this algorithm.

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Asked:

on 6 Jan 2014

Commented:

on 11 Sep 2015

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