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@article{143328,
        author = {Athira M Mohan and Dr. Mary Jansi Rani},
        title = {Application of Soft Computing Techniques for Non-linear Process Modelling},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {10},
        pages = {149-153},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143328},
        abstract = {This paper deals with various soft computing techniques for modelling non-linear system. The traditional well established methods of modelling fail to describe non-linear system accurately. In this paper soft computing techniques like fuzzy, neural network and neuro fuzzy are used to model Conical Tank System (CTS). CTS has nonlinearity due to its shape. Models obtained using soft computing techniques proved to be well accurate with minimal model mismatch. The validity of the models is compared by taking mean-square error as performance criteria. ANFIS model for the systems produced superior results with minimum Root Mean Square Error (RMSE).},
        keywords = {ANFIS (Adaptive Neuro Fuzzy Inference System), CTS (Conical Tank System), T-S Fuzzy model, Neural network model, RMSE(Root Mean Square Error)},
        month = {},
        }