A complete model is presented, the parameters identification using neuro-fuzzy approach, the around this model, we have built a faults diagnosis and detection structure, using the parity space and the observers. Finally, we propose a human machine cooperation structure in the monitoring loop, in ...
Finally, nonlinear fuzzy activation functions are used to aggregate all the local models to capture the overall system behaviour. The NF technique has been shown to be highly promising not only in the area of nonlinear dynamic systems modelling, but also in various other application areas, such ...
Neuro-Fuzzy System for Modelling of Occupational Psychopathology International Journal of Recent Advances in Organizational Behaviour & Decision SciencesAyinla, Alayande SemiuEgere, Amance C.
This paper questions the correctness of two bias-corrected sediment rating curve models that were used to compare and contrast traditional counterparts against state-of-the-art computational tools in a recent article on "Adaptive neuro-fuzzy computing technique for suspended sediment estimation" by Kisi...
Fuzzy modelling and ANFIS: Adaptive neuro-fuzzy inference system Fuzzy inference is a method that interprets the values in the input vector and assigns values to the output by means of some set of fuzzy “IF-THEN” rulesIFxisATHENyisB,where A and B are labels of fuzzy sets, e.g, “low...
The hierarchical fuzzy modelling is used to obtain a multi–model of the evapotranspiration cycles. In order to simplify the model structure, the variable of vapour pressure deficit (VPD) is introduced, and thus, a physical interpretation of the interior climate is obtained. VPD helps to preserve...
CFD and neuro-fuzzy modelling of fuel cells 来自 etheses.whiterose.ac.uk 喜欢 0 阅读量: 23 作者:Vural,Yasemin 摘要: This thesis presents some model developments for the simulation and optimization of the design of fuel cells, in particular for the Solid Oxide Fuel Cell (SOFC) and Proton ...
Apart from modelling, the RFasArt architecture provides a knowledge base of fuzzy rules containing information about the plant dynamic behaviour. 展开 关键词: ART elman recurrent neural networks recurrent neuro-fuzzy modelling wastewater treatment plant ...
Neuro‐fuzzy modelling of spectroscopic data. Part A — Modelling of dye solutions The applicability of an adaptive network-based fuzzy inference system for modelling of spectroscopic absorbance data in the visible region has been studied. Some basic principles of neuro-fuzzy modeling are discussed. ...
Neurofuzzy design and model construction of nonlinear dynamical processes from data A common problem in many data based modelling algorithms such as associative memory networks is the problem of the curse of dimensionality. In this paper, ... X.Hong,C.J.Harris - IEE Proceedings - Control Theory...