Abstract: In this paper, a new block adaptive filtering algorithm, based on the Conjugate Gradient (CG) method of optimization, is proposed. A Toeplitz approximation of the autocorrelation matrix is ...
This paper introduces two three-term trust region conjugate gradient algorithms, TT-TR-WP and TT-TR-CG, which are capable of converging under non-Lipschitz continuous gradient functions without any ...
Abstract: This paper presents Adaptive Learning Rate Polak-Ribiere-Polyak Conjugate Gradient Neuro-Fuzzy (ALR-PCGNF), an advanced hybrid optimization algorithm specifically designed for training first ...
Least squares reverse time migration (LSRTM) imaging is the one of the most accurate methods for migration imaging at present, and Polak–Ribiere–Polyak conjugate gradient (PRPCG) for LSRTM has the ...
There are several optimization techniques available in PROC NLMIXED. You can choose a particular optimizer with the TECH=name option in the PROC NLMIXED statement. No algorithm for optimizing general ...
This project implements a Single Layer Neural Network (SLNN) from scratch using Matlab. It focuses on the theoretical application and practical comparison of unconstrained optimization algorithms ...
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