机译:基于Hammerstein模型的极限学习机辨识非线性系统。
Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, Hebei, China ,Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai 200240, China;
Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, Hebei, China;
Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai 200240, China,Department of Automation, Shanghai Jiaotong University, Shanghai 200240, China;
Nonlinear system identification; Extreme learning machine; Hammerstein model; Generalized ELM algorithm;
机译:基于复杂机器非线性工业过程的基于极端学习机的新型Hammerstein-Wiener模型
机译:基于极端学习机的HAMBerstein-Wiener模型,用于复杂非线性工业过程
机译:基于极限学习机的快速两阶段非线性模型自动识别
机译:使用基于极限学习机的Hammerstein-Wiener模型识别CSTR
机译:使用Hammerstein /非线性反馈模型对二次约束最小二乘辨识和非线性系统辨识。
机译:ACO-NM优化的极端学习机的基于组件基于软件系统的新型质量预测模型
机译:基于极端的基于机器的LED通信系统的非特性和迭代非线性缓解