机译:顺序学习径向基函数网络用于实时潮位预测
School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,Navigation College, Dalian Maritime University, Dalian 116026, Liaoning, China;
School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;
School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;
tidal level prediction; radial basis function network; sequential learning;
机译:基于最小径向基函数神经网络的函数逼近顺序学习方案
机译:基于改进径向基函数神经网络的基于改进的径向基础函数的实时HDD回拉力预测模型
机译:使用功能和顺序学习神经网络的潮汐预报
机译:使用递归神经网络和径向基函数提取高级顺序结构
机译:从分子结构预测酶抑制和受体拮抗剂特性,以及开发用于分析抑制剂结合的径向基函数神经网络。
机译:根据有效的径向基函数网络和重要的氨基酸对预测电子转运蛋白中的FAD结合位点
机译:径向基函数网络中顺序学习的动态阈值选择