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    Runoff Modelling using different member ship functions in Adaptive Neuro fuzzy inference system

    作者： C Chandre Gowda , S. G. Mayya

    DOI:

    关键词: Membership function 、 Sigmoid function 、 Gaussian elimination 、 Adaptive neuro fuzzy inference system 、 Statistical hypothesis testing 、 Rainfall runoff 、 Computer science 、 Artificial intelligence 、 Surface runoff

    摘要: Rainfall runoff modelling using adaptive neuro fuzzy inference system has been presented. In the present study ANFIS models are developed different membership functions Triangular, Trapezoidal, Bell-shaped, Sigmoid and Gaussian method. All compared with statistical tests. West flowing river Nethravathi located in Karnataka, India selected as area. It was observed that Triangular function show a good performance to other developed.

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    来源期刊
    International Journal of Advances in Engineering Sciences
    • 2014 年,
    • Volume: 4, Issue: 4,
    • Page: 48-51
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