In this paper various circuit architectures of simple neuron-like analog processors are considered for on-line solving of a system of linear equations with real constant and/or time-variable coefficients. The proposed circuit structures can be used, after slight modifications, in related problems, namely, inversion and pseudo-inversion of matrices and for solving linear and quadratic programming problems. Various ordinary differential equation formulation schemes (generally nonlinear) and corresponding circuit architectures are investigated to find which are best suited for VLSI implementations. Special emphasis is given to ill-conditioned problems. The properties and performance of the proposed circuit structures are investigated by extensive computer simulations.
|Журнал||IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications|
|Состояние||Опубликовано - февр. 1992|
|Опубликовано для внешнего пользования||Да|