classification using fuzzy network

조회 수: 3 (최근 30일)
kash
kash 2014년 1월 6일
댓글: janani balu 2015년 9월 11일
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

답변 (1개)

Walter Roberson
Walter Roberson 2014년 1월 6일
  댓글 수: 6
shri raje
shri raje 2014년 6월 14일
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.
janani balu
janani balu 2015년 9월 11일
Please help me how to find the overlapping cases in this algorithm.

댓글을 달려면 로그인하십시오.

카테고리

Help CenterFile Exchange에서 Build Deep Neural Networks에 대해 자세히 알아보기

태그

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by