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    Chapter and Conference Paper

    Nonlinear Hydrological Time Series Forecasting Based on the Relevance Vector Regression

    As long leading-time hydrological forecast is a complex non-linear procedure, traditional methods are easy to get slow convergence and low efficiency. The basic relevance vector machine (BRVM) and the develope...

    Fang Liu, Jian-Zhong Zhou, Fang-Peng Qiu, Jun-Jie Yang in Neural Information Processing (2006)

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    Chapter and Conference Paper

    A DEA-Benchmarking Optimization Model and Method Based on the Theory of Maximum Entropy

    Benchmarking is a technique that engages and executes a series of measures to change indexes of the Decision Making Unit (DMU) to excellent by using the gap analysis information between the DMU and benchmark. ...

    Yin-sheng Yang, Ning Li, Hai-cun Liu, Hong-peng Guo in Intelligent Computing (2006)