Mamdani Model Based Adaptive Neural Fuzzy Inference System And Its Application

Yuanyuan Chai, Limin Jia, Zundong Zhang
2009 Zenodo  
Hybrid algorithm is the hot issue in Computational Intelligence (CI) study. From in-depth discussion on Simulation Mechanism Based (SMB) classification method and composite patterns, this paper presents the Mamdani model based Adaptive Neural Fuzzy Inference System (M-ANFIS) and weight updating formula in consideration with qualitative representation of inference consequent parts in fuzzy neural networks. M-ANFIS model adopts Mamdani fuzzy inference system which has advantages in consequent
more » ... . Experiment results of applying M-ANFIS to evaluate traffic Level of service show that M-ANFIS, as a new hybrid algorithm in computational intelligence, has great advantages in non-linear modeling, membership functions in consequent parts, scale of training data and amount of adjusted parameters.
doi:10.5281/zenodo.1061738 fatcat:kkcmyov3hrc6tp7okbnuofcroe