@article {IOPORT.06081774,
    author       = {Li, Junhong and Ding, Ruifeng and Yang, Yi},
    title        = {Iterative parameter identification methods for nonlinear functions.},
    year         = {2012},
    journal      = {Applied Mathematical Modelling},
    volume       = {36},
    number       = {6},
    issn         = {0307-904X},
    pages        = {2739-2750},
    publisher    = {Elsevier Science Inc., New York, NY},
    doi          = {10.1016/j.apm.2011.09.057},
    abstract     = {Summary: This paper considers identification problems of nonlinear functions fitting or nonlinear systems modelling. A gradient based iterative algorithm and a Newton iterative algorithm are presented to determine the parameters of a nonlinear system by using the negative gradient search method and Newton method. Furthermore, two model transformation based iterative methods are proposed in order to enhance computational efficiencies. By means of the model transformation, a simpler nonlinear model is achieved to simplify the computation. Finally, the proposed approaches are analyzed using a numerical example.},
    identifier   = {06081774},
}