Sentence examples for descent based methods from inspiring English sources

It is apparent that the gradient descent based methods are not suitable to adopt here as the training algorithm for each SLFN.

As illustrated through simulations given by Huang et al. [ 14, 23, 25], Liang et al. [ 26], and Zhang et al. [ 27], utilizing random hidden parameters in the training phase, ELM not only learns thousand times faster than the BP algorithm and its variants but also has a comparable generalization performance as the conventional gradient descent based methods and SVM.

The most popular algorithm is the gradient descent based method where the network back-forward errors are used to iteratively update the network parameters.

In the same section, we solve the existing optimization problem in a systematic manner by the techniques in variational calculus such as gradient-descent based methods.

The availability of the gradient information allows for inference of the rate parameters of stochastic kinetic models using gradient descent-based methods.

GA as a stochastic optimization tool outperforms other gradient based methods (steepest descent, Gauss- Newton method, conjugate gradient etc.,) toward reaching a global optimal solution escaping the local optima (Gill 1981; Ouenes 1992; Tamhane et al. 2000; Gomez et al. 2001; Romero and Carter 2001; Schulze-Riegert et al. 2001; Choudhary et al. 2007).

A fast descent algorithm, resorting to a "stretching" function technique and built on one hybrid method (GRSA) which combines simulated annealing (SA) algorithm and gradient based methods for large scale global optimizations, is proposed.

This paper computes reliability with improved learning rate gradient descent based neural network method.

Several numerical schemes have been proposed to solve optimal control problems, including shooting methods [8, 9], Krotov methods [60] and gradient ascent (or descent) based approaches [21, 32].

In this paper, a hybrid heuristic method IVND with variable neighborhood descent based on multi-operator optimization is proposed for solving the CVRP.

The aim of this study was to compare different methods for estimating individual homozygosity-by-descent based on the information from human genome-wide scans rather than genealogies.