… Considering the special historical background of IUAM promotion, from the view of the
coupled PRED system consisting of regional water resources, local population, eco-environment …

… This paper mainly uses various algorithms, such as neural network, linear regression, fuzzy
clustering and ANFIS, to construct the rainfall-based mathematical data model. In addition to …

… An historical overview of psychological research across cultures reveals a pervasive theme:
a new topic of research initially tends to come with claims of important, and often large, cross…

… fuzzy logic control, triple-step nonlinear method, sliding mode control and robust control.
Fuzzy logic … and not a model based approach which needs accurate mathematical model[21–22]…

… Schlender [17] proposed an adaptive algorithm based on fuzzy logic. Martin [18] introduced
… Our approach is a generalization of the incorporation of approach based on prediction and …

… In this context, firstly, type-1 fuzzy logic systems and secondly type-2 … In the structure used
in this work, fuzzy logic parameters are trained using ANFIS with error input.The fuzzy logic …

… Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems[J]. …
Fuzzy modeling approach for combined forecasting of urban traffic flow[J]. Computer-Aided Civil …

… In this paper we review the development history of three group ANN model and model
structure characteristics. The research progress of ANN models for the purpose of soft …