Improvements in Sugeno-Yasukawa Modelling Algorithm
A modified version of Sugeno-Yasukawa (SY) modelling algorithm is presented. We have employed a new method for parameter identification phase based on genetic algorithms (GA). Moreover, we have modified the modeling sequence by applying parameter identification on intermediate models. Models created with this method had lower mean square errors (MSE) compared to original algorithm. A case study on breast cancer survival prediction is also presented that demonstrates a thorough comparison of the...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the 19th international conference on Fuzzy Systems|
|01_Hadad_Improvements_in_2010.pdf||659.15 kB||Adobe PDF||Request a copy|
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