Chaos, Complexity and Leadership 2012, Santo Banerjee,Şefika Şule Erçetin, Editör, Springer, London/Berlin , Ankara, ss.177-181, 2014
In this paper, an ANFIS approach for the modelling of Rossler system was
presented. For this purpose a computer program was developed by using MATLAB
programming language. The numerical data were obtained by using the numerical
solve of differential equation of Rossler system to train the ANFIS models. The
input–output data sets of this circuit were first stored and then these data sets were
used to obtain its model based on ANFIS. The ANFIS models were trained and
tested for different MFs. Then, the best ANFIS models were obtained by comparing
the performances of MFs. Efficiency of the developed neuro-fuzzy modelling technique was tested and a mean 99.999 % recognition success was obtained. Then,
the proposed ANFIS models were compared with MATLAB simulation. Obtained
results showed that the ANFIS model simulation is much faster than, MATLAB
simulation. This study showed that this model can be used in any other nonlinear
dynamic systems analysis and chaos studies