机译:基于径向基函数神经网络的城市总生态足迹预测-以武汉市为例
School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, PR China Inslitute of Systems Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, PR China;
Inslitute of Systems Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, PR China;
School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, PR China;
School of Economics and Management, Wuhan University, Wuhan, Hubei, 430072, PR China;
School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, PR China;
total ecological footprint (TEF); biological capacity (BC); radial basis function neural network (RBFNN); partial least square (PLS); development trends analysis;
机译:城市发展在生态上可持续吗?
机译:城市发展在生态上可持续吗?基于改进人工神经网络模型的生态足迹分析与预测-以中国天津为例
机译:基于径向基函数神经网络(RBFNN)的方法同时对每小时溶解氧浓度(DO)进行建模和预测:以美国俄勒冈州克拉马斯河为例
机译:基于径向基函数神经网络方法的天气因素的Vannamei虾生产预测(案例研究:Lamongan District)
机译:利用径向基函数增强深度神经网络对安全威胁的鲁棒性
机译:基于随机森林和径向基函数神经网络的机器学习集成方法在区域洪灾风险评估中的应用-以中国长江三角洲为例
机译:总体上总方方和径向基函数神经网络集成的实证研究