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Dissolved oxygen content interval prediction based on auto regression recurrent neural network

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  1. Chapter and Conference Paper

    Erratum: Water Temperature Forecasting in Sea Cucumber Aquaculture Ponds by RBF Neural Network Model

    The paper “Water Temperature Forecasting in Sea Cucumber Aquaculture Ponds by RBF Neural Network Model” authored by Shuangyin Liu, Longqin Xu, Ji Chen, Daoliang Li, Haijiang Tai and Lihua Zeng, DOI 10.1007/978...

    Shuangyin Liu, Longqin Xu, Ji Chen in Computer and Computing Technologies in Agr… (2013)

  2. Chapter and Conference Paper

    Retracted: Water Temperature Forecasting in Sea Cucumber Aquaculture Ponds by RBF Neural Network Model

    Water temperature is considered to be the most important parameter which can largely determine the aquaculture production of sea cucumbers, so it is extremely important to monitor and forecast the water temper...

    Shuangyin Liu, Longqin Xu, Ji Chen in Computer and Computing Technologies in Agr… (2013)

  3. Chapter and Conference Paper

    Key Technology of South Sea Pearl Industry Management Information Service Platform Based on the Internet of Things

    This research constructs the south sea pearl industry management information service platform based on the Internet of Things, analyzing the features and technical advantages of Internet of Things, as well as ...

    Longqin Xu, Shuangyin Liu, Daoliang Li in Computer and Computing Technologies in Agr… (2012)

  4. Chapter and Conference Paper

    Prediction of Dissolved Oxygen Content in Aquaculture of Hyriopsis Cumingii Using Elman Neural Network

    Hyriopsis Cumingii is Chinese major fresh water pearl mussel, widely distributed in the southern provinces of China’s large and medium-sized freshwater lakes. In the management of Hyriopsis Cumingii ponds, dis...

    Shuangyin Liu, Mingxia Yan, Haijiang Tai in Computer and Computing Technologies in Agr… (2012)