Abstract The prediction problem is an interesting topic to be discussed today. many predictive methods used solve problems have become obstacle for researchers and academics alike. This study aimed analyze the ability of ANN method using Polak-Ribiere Powell-Beale conjugate gradients. dataset analysis disaster times-series data in Indonesia last ten years (2011-2020). Data obtained from Indones...

To achieve a conjugate gradient method which is strong in theory and efficient practice for solving unconstrained optimization problem, we propose hybridization of the Hager Zhang (HZ) Polak-Ribière Polyak (PRP) methods possesses an important property well known PRP method: tendency to turn towards steepest descent direction if small step generated away from solutio...

In this paper, the spectral algorithm for nonlinear equations (SANE) is adapted to problem of finding a zero given tangent vector field on Riemannian manifold. The generalized version SANE uses, in systematic way, as search direction and continuous real-valued function that adapts ensures it verifies descent condition an associated merit function. To speed up convergence proposed method, we inc...

The conjugate gradient (CG) method is one of the most popular methods for solving smooth unconstrained optimization problems due to its simplicity and low memory requirement. However, the usage of CG methods are mainly restricted in solving smooth optimization problems so far. The purpose of this paper is to present efficient conjugate gradient-type methods to solve nonsmooth optimization probl...

constructive points. A critical examination is made of FA’s strength and weaknesses in comparison with other biomarkers, and ways to improve FA as a bio-indicator are suggested. As a whole, Developmental Instability is a mature and balanced compilation of an important subject in biology, which is, after all, about half a century old. Michal Polak has managed to combine excellent contributions o...

Neuro-Fuzzy Modeling has been applied in a wide variety of fields such as Decision Making, Engineering and Management Sciences etc. In particular, applications of this Modeling technique in Decision Making by involving complex Systems of Linear Algebraic Equations have remarkable significance. In this Paper, we present Polak-Ribiere Conjugate Gradient based Neural Network with Fuzzy rules to so...

This paper provides a novel axiomatization of quasi-hyperbolic discounting, which imposes consistency restrictions directly on the intertemporal tradeoffs. The experimental design proposed in this paper will be useful for experimental work since it renders the short-run discount factor elicitation independent of the utility function. This makes comparisons of impatience across a spectrum of dif...

New hybrid conjugate gradient algorithms are proposed and analyzed. In these hybrid algorithms the famous parameter k β is computed as a convex combination of the Polak-Ribière-Polyak and Dai-Yuan conjugate gradient algorithms. In one hybrid algorithm the parameter in convex combination is computed in such a way that the conjugacy condition is satisfied, independent of the line search. In the o...