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黄河口滨海区生态需水量神经网络模型的建立 被引量:3

Establishment of Ecological Water Demand Neural Network Model for Shoreward of the Yellow River Estuary
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摘要 针对河口与近海生物对环境条件变化响应的非线性和不连续性,以及生态系统所具有的多源性、开放性、耗散性和远离平衡态的复杂特征,利用人工神经网络最新技术,建立了河口滨海区生态需水量与健康生态特征指标间的非线性耦合关系的神经网络计算模型,借助M at lab工具箱强大功能和自主开发接口,快速实现输入数据的预处理、网络的训练和仿真。 According to the non linearity and discontinuity of biology at the estuary and offshore to the response of environmental changes and the complicated feature of polyphyly,openness,dissipativeness and away from equilibrium state of ecosystem,the paper establishes a neural network calculation model of nonlinear coupled relations between ecological water demand and healthy ecological characteristics of shoreward of the Yellow River estuary by utilizing the newest technique of artificial neural network and,quickly realizes the pre-pressing of input data and exercise and emulate of network with the help of powerful functions of Matlab toolbox and independent development interface.
出处 《人民黄河》 CAS 北大核心 2005年第10期70-71,75,共3页 Yellow River
基金 国家自然科学基金资助项目(50479029)
关键词 人工神经网络模型 MAT LAB 生态需水量 黄河口滨海区 artificial neural network model,Mat lab,ecological water demand,shoreward of the Yellow River estuary
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