gradient descent search method
A THEORETICAL SURVEY OF GRADIENT BASED ALGORITHMS FOR MULTIVARIABLE OPTIMIZATION
... maximum descent in function values, it is also known as the steepest descent ...unidirectional search is performed in the negative to the derivative direction to find the minimum point along that ...
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A DESCENT PRP CONJUGATE GRADIENT METHOD FOR UNCONSTRAINED OPTIMIZATION
... line search, the PRP method can cycle infinitely without approaching to a stationary ...the search direction is a descent direction, Yuan [20] has established the global convergence of the PRP ...
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Modified nonlinear conjugate gradient method with sufficient descent condition for unconstrained optimization
... proposed method is that the generated directions are always ...line search used and the convexity of objective ...line search condition, we establish the global convergence of the proposed ...
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A New Descent Nonlinear Conjugate Gradient Method for Unconstrained Optimization
... PRP method was much better than the FR method judging from the numerical ...PRP method with the exact line search was globally ...PRP method did not converge ...
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A Modified FR Conjugate Gradient Method with Strong Wolfe Line Search
... conjugate gradient method has been disclosed, whose algorithm satisfies the descent property and the global convergence of this method can be guaranteed under some mild ...MFR method, ...
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A Conjugate Gradient Method for Unconstrained Optimization Problems
... conjugate gradient method for solving unconstrained optimization ...line search, this method possesses the sufficient descent condition only with the parameter σ < ...line ...
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The Effect of Pre-Processing Techniques and Optimal Parameters selection on Back Propagation Neural Networks
... the gradient descent method to update weights, one of the limitations of this method is that it is not guaranteed to find the global minimum of the error ...line search in ...
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The Effect of Adaptive Gain and Adaptive Momentum in Improving Training Time of Gradient Descent Back Propagation Algorithm on Classification Problems
... simplest method to avoid oscillation problems during the search for the minimum value on the error surface ...the descent path by preventing extreme changes in the gradient due to local ...
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The effect of adaptive gain and adaptive momentum in improving training time of Gradient Descent back propagation algorithm on classification problems
... simplest method to avoid oscillation problems during the search for the minimum value on the error surface ...the descent path by preventing extreme changes in the gradient due to local ...
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1. First and second order training algorithms for artificial neural networks to detect the cardiac state
... steepest descent algorithm is based on first order Taylor’s series expansion, whereas the conjugate gradient algorithm is based on the second order Taylor’s ...Newton’s method[14] converges in finite ...
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Online Full Text
... using gradient descent and scaled conjugate gradient ...for gradient descent method of training the network is tested and compared with the convergence of scaled conjugate ...
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Fast optimization methods for image registration in adaptive radiation therapy
... efficient method (fast ASGD) to automatically determine the step size for gradient descent methods, by considering the observed distribution of the voxel displacements between ...ASGD method ...
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An Efficient Algorithm to Analyse the Cost Sensitive Measures on Datasets
... ABSTRACT: An efficient algorithm to analyse the cost sensitive measure is proposed. The main goal of this paper is to measure the sum of weighted sensitivity and specificity, total misclassification cost. To achieve the ...
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Sparse Communication for Distributed Gradient Descent
... Selection to obtain the threshold is expensive (Alabi et al., 2012). However, this can be approxi- mated. We sample 0.1% of the gradient and obtain the threshold by running selection on the samples. Parameters and ...
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Modelling of direct metal laser sintering of EOS DM20 bronze using neural networks and genetic algorithms
... (Gradient descent), traingdm (Gradient descent with momentum), traingdx (Gradient descent momentum with an adaptive learning rate), trainrp (Resilient BP algorithm), traincgf ...
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Class of Nonmontone Line Search Method with Perturbations
... The rest of this paper is organized as follows. In the second section, we propose the kind of nonmontone line search method with perturbations and prove its conver- gence property. In the third section, we ...
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A Gradient Search Algorithm for the Maximal Visible Area Polygon Problem
... This paper provides a gradient search algorithm for finding the maximal visible area polygon (VAP) viewed by an interior point in a simple polygon P . The algorithm is based on a natural partition of P into ...
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Performance Comparison of Total Variation based Image Regularization Algorithms
... Figs.1-4 is for results of fruits image and Figs. 5-8 is for results of cameraman image. Fig.1-2 and Fig. 5-6 for λ=0.003 and 0.01, Tikhonov model smoothing is more and edges are not preserved whereas ROF model and TV-L1 ...
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Accelerated Mann and CQ algorithms for finding a fixed point of a nonexpansive mapping
... steepest descent method [] to minimize f over ...the gradient of f , denoted by ∇ f , is Lipschitz continuous with a constant L > and define T f : H → H ...
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Extending Limabeam with discrimination and coarse gradients
... annealing search [20] (SA) and secondly, gradient descent searches using coarse gradient estimates, obtained by sampling points 2000 times further away from the current solution than used by ...
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