The Regularized Algorithms of Statistical Estimation of Functions
Abstract:
The regularized algorithms of filtration are supported and investigated. Hereby optimal of the information point of view M – parametric approximations of required function are used. The approximation parameters are determined by a maximum likelihood method. The number of parameters is defined by χ2 criterion. The results of 1D and 2D modeling problems are represented.
Publication language:russian, pages:20
Research direction:
Mathematical modelling in actual problems of science and technics