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    Article

    Estimating the distribution of enterprise values with quantile neural networks

    The probability density function of enterprise values may be more precise and useful in the cases of corporate investment, financing, or transactions. Although the quantile regression analysis can generate a s...

    I-Cheng Yeh, Yi-Cheng Liu in Soft Computing (2020)

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    Article

    Using mixture design and neural networks to build stock selection decision support systems

    There are three disadvantages of weighted scoring stock selection models. First, they cannot identify the relations between weights of stock-picking concepts and performances of portfolios. Second, they cannot...

    Yi-Cheng Liu, I-Cheng Yeh in Neural Computing and Applications (2017)