Title :
Game Methods of the Stochastic Boundary Problem Solution
Author_Institution :
Dept. of Comput. Sci., Lviv Polytechnic. Nat. Univ.
Abstract :
The game problems solution methods which are described by systems of the stochastic equations in partial derivative are investigated. The offered methods are based on an estimation of the characteristics of distributions of random quantities, which is carried out with the help self-learning of recurrent methods
Keywords :
partial differential equations; stochastic games; unsupervised learning; field problems; partial differential equations; self-learning; stochastic boundary problem; stochastic game methods; Boundary conditions; Differential equations; Finite difference methods; Mathematical model; Microelectronics; Partial differential equations; Stochastic processes; Stochastic systems; Testing; Uncertainty; Adaptation; Self-learning; Stochastic game methods; field problems;
Conference_Titel :
Perspective Technologies and Methods in MEMS Design, 2006. MEMSTECH 2006. Proceedings of the 2nd International Conference on
Conference_Location :
Lviv
Print_ISBN :
966-553-517-X
DOI :
10.1109/MEMSTECH.2006.288667
