chemical analysis; chemical hazards; chemical sensors; contamination; feature extraction; geophysical signal processing; learning (artificial intelligence); nitrogen compounds; pollution; radial basis function networks; rivers; signal detection; water quality; Manawatu river; RBF neural network; energy; feature extraction; function approximation problems; laboratory testing method substitute; mean; nitrate concentration level; nitrate contamination estimation; nitrate contamination level; nitrate-contaminated water samples; output signal extraction; pattern classification capability; pattern recognition capability; planar electromagnetic sensors; radial basis function neural network; river water nitrate contamination; river water samples; skewness; Biological neural networks; Contamination; Electromagnetics; Feature extraction; Neurons; Sensors; Water pollution; feature extraction; nitrate contamination estimation; planar electromagnetic sensors; radial basis function;
机译:使用具有径向基函数的神经网络的反射型光学传感器进行嵌入式应用的距离估计
机译:使用具有径向基函数的神经网络的反射型光学传感器进行嵌入式应用的距离估计
机译:Jajrood流域水质参数的预测:多层感知器(MLP)感知器和人工神经网络(RNN)的径向基函数网络的应用
机译:径向基函数神经网络在马纳瓦图河硝酸盐污染估算中的应用
机译:使用径向基函数神经网络的计算机断层扫描数据中的小肺结节自动分割及其在体积估计中的应用
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:q-高斯径向基函数神经网络的混合算法二元分类参数估计
机译:基于径向和相关基函数的散乱数据曲面拟合与分析及其在神经网络中的应用