This paper proposes to extend the band width of narrow band telephone speech signal by employing feed forward back propagation neural network. There are different types of faster training algorithm are available in the literature like Variable Learning Rate, Resilient Back propagation, Polak-Ribiére Conjugate Gradient , Conjugate Gradient with Powell/Beale Restarts , BFGS Quasi-Newton , One-Ste...

This article introduces and analyzes a new adaptive algorithm for solving symmetric positive definite linear systems in cases where several preconditioners are available or the usual preconditioner is a sum of contributions. A new theoretical result allows to select, at each iteration, whether a classical preconditioned CG iteration is sufficient (i.e., the error decreases by a factor of at lea...

It is well known that conjugate gradient methods are useful for solving large-scale unconstrained nonlinear optimization problems. In this paper, we consider combining the best features of two methods. particular, give a new method, based on hybridization DY (Dai-Yuan), and HZ (Hager-Zhang) The hybrid parameters chosen such proposed method satisfies conjugacy sufficient descent conditions. show...

This paper presents a new algorithm for the parallel in time (PiT) numerical simulation of dependent partial/ordinary differential equations. We propose reliable alternative to well know parareal algorithm, by formulating problem algebraically and solve it using an adapted Bi-Conjugate gradient stabilized method. The proposed Parallel Stable (PiTSBiCG short) has great potential stabilizing reso...