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 ...
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 ...
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 ...