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pro vyhledávání: '"Dun-Sung Tang"'
Publikováno v:
IEEE Transactions on Computers. 42:1222-1233
This paper concerns neural network approaches to function approximation and optimization using linear superposition of Gaussians (or what are popularly known as radial basis function (RBF) networks). The problem of function approximation is one of es
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f859dfee2ec7bdccf9f54c2c6948fcb7
https://doi.org/10.1109/12.257708
https://doi.org/10.1109/12.257708
Publikováno v:
IEEE Transactions on Computers; 1993, Vol. 42 Issue 10, p1222-1233, 12p