机译:支持向量回归法确定核中心的新型在线自适应核方法
Delft University of Technology, Control and Simulation Division, Faculty of Aerospace Engineering, Delft 2600GB, The Netherlands;
Delft University of Technology, Control and Simulation Division, Faculty of Aerospace Engineering, Delft 2600GB, The Netherlands;
Delft University of Technology, Control and Simulation Division, Faculty of Aerospace Engineering, Delft 2600GB, The Netherlands;
Delft University of Technology, Control and Simulation Division, Faculty of Aerospace Engineering, Delft 2600GB, The Netherlands;
Support vector machine; Multikernel; Recursive nonlinear identification; Adaptive global model; Kernel basis function;
机译:基于混合核函数自适应融合的支持向量回归参数选择方法
机译:基于多核最小二乘支持向量回归的非线性过程的自适应模糊预测控制
机译:支持向量回归的确定性误差分析及相关正则核方法
机译:在线评估基于模拟电路性能的自适应最小二乘支持向量回归的双核RBF调整新策略
机译:使用相互核支持向量回归的金属氧化物气体传感器阵列智能设计。
机译:通过具有加权度内核的两轮支持向量回归来建模DNA亲和力景观
机译:一种新的自适应核方法,其核中心由支持向量回归法确定