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  1. No Access

    Article

    Further improvements on extreme learning machine for interval neural network

    The interval extreme learning machine (IELM) (Yang et al. in Neural Comput Appl 27(1):3–8, 2016) is a newly proposed regression algorithm to deal with the data with interval-valued inputs and interval-valued outp...

    Li-fen Yang, Chong Liu, Hao Long… in Neural Computing and Applications (2018)

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    Article

    Extreme learning machine with fuzzy input and fuzzy output for fuzzy regression

    It is practically and theoretically significant to approximate and simulate a system with fuzzy inputs and fuzzy outputs. This paper proposes a extreme learning machine (ELM)-based fuzzy regression model ( ...

    Hai-tao Liu, **g Wang, Yu-lin He… in Neural Computing and Applications (2017)

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    Article

    Comments on “Local coupled extreme learning machine”

    Local coupled extreme learning machine (LCELM) (Qu in Neural Comput Appl 27(1):27–33, 2016) is a recently developed variant of ELM and uses the paradigm of local coupled feed-forward neural network (LCFNN) (Sun i...

    Wan-guo Yu, Xu Zhou, Yu-lin He, Rana Aamir Raza Ashfaq in Neural Computing and Applications (2017)

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    Article

    Domain ontology graph model and its application in Chinese text classification

    This paper proposes an ontology learning method which is used to generate a graphical ontology structure called ontology graph. The ontology graph defines the ontology and knowledge conceptualization model, an...

    James N. K. Liu, Yu-lin He, Edward H. Y. Lim… in Neural Computing and Applications (2014)