نتایج جستجو برای: hybrid conjugate gradient algorithm

تعداد نتایج: 1056778  

Journal: :Optimization Methods and Software 2009
Neculai Andrei

A nonlinear conjugate gradient algorithm which is a modification of the Dai and Yuan [Y.H. Dai and Y, Yuan, A nonlinear conjugate gradient method with a strong global convergence property, SIAM J. Optim., 10 (1999), pp.177-182.] conjugate gradient algorithm satisfying a parametrized sufficient descent condition with a parameter k δ is proposed. The parameter k δ is computed by means of the conj...

Journal: :Indonesian Journal of Electrical Engineering and Computer Science 2020

Journal: :International Journal of Computer Mathematics 1978

Journal: :SIAM Journal on Scientific Computing 2016

Journal: :IEEE transactions on neural networks 1994
Shih-Lin Hung Hojjat Adeli

A new algorithm is presented for training of multilayer feedforward neural networks by integrating a genetic algorithm with an adaptive conjugate gradient neural network learning algorithm. The parallel hybrid learning algorithm has been implemented in C on an MIMD shared memory machine (Cray Y-MP8/864 supercomputer). It has been applied to two different domains, engineering design and image re...

Journal: :Mathematics 2021

Three-term conjugate gradient methods have attracted much attention for large-scale unconstrained problems in recent years, since they attractive practical factors such as simple computation, low memory requirement, better descent property and strong global convergence property. In this paper, a hybrid three-term algorithm is proposed it owns sufficient property, independent of any line search ...

1996
Norio Baba

This report presents P scg , a new global optimization method for training mul-tilayered perceptrons. Instead of local minima, global minima of the error function are found. This new method is hybrid in the sense that it combines three very diierent optimization techniques: Random Line Search, Scaled Conjugate Gradient and a 1-dimensional minimization algorithm named P. The best points of each ...

2014
Mohd Asrul Hery Ibrahim Mustafa Mamat

The conjugate gradient method plays an important role in solving large-scaled problems and the quasi-Newton method is known as the most efficient method in solving unconstrained optimization problems. Therefore, in this paper, the new hybrid 2592 Mohd Asrul Hery Ibrahim et al. method between the conjugate gradient method and the quasi-newton method for solving optimization problem is suggested....

Journal: :CoRR 2012
Hamid Salimi Davar Giveki Mohammad Ali Soltanshahi Javad Hatami

This paper investigates a new method for improving the learning algorithm of Mixture of Experts (ME) model using a hybrid of Modified Cuckoo Search (MCS) and Conjugate Gradient (CG) as a second order optimization technique. The CG technique is combined with Back-Propagation (BP) algorithm to yield a much more efficient learning algorithm for ME structure. In addition, the experts and gating net...

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