The multikernel least mean square (MKLMS) algorithm is a classical of adaptive filters due to its simplicity. However, the linear growth network structure main challenge MKLMS. To address this issue, novel multiple random features (MRFLMS) proposed by approximating Gaussian kernels with method. In addition, combined weight transfer strategy adopted in MRFLMS develop another (CMRFLMS) alleviate ...

parameter estimation of the nonlinear muskingum model is a highly nonlinear optimization problem. although various techniques have been applied to optimize the coefficients of the nonlinear muskingum flood routing models, but an efficient method for this purpose in the calibration process is still lacking. the accuracy of artificial bee colony (abc) algorithm is investigated in this paper to op...