Fig. 5. Comparison of the SRM-based algorithms for the " Bad " channel, SNR = 10 dB. SG: Standard stochastic gradient algorithm. Norm: Normalized stochastic gradient algorithm. SRM: Off-line SRM algorithm of [3], where S k is obtained at time k by averaging all of the data through time k to estimate ensemble averages. Conj Grad: Conjugate gradient algorithm. The results are averaged over 200 sa...

In theory, the successive gradients generated by the conjugate gradient method applied to a quadratic should be orthogonal. However, for some ill-conditioned problems, orthogonality is quickly lost due to rounding errors, and convergence is much slower than expected. A limited memory version of the nonlinear conjugate gradient method is developed. The memory is used to both detect the loss of o...

in this paper, the artificial neural network (ann) approach is applied for forecasting groundwater level fluctuation in aghili plain,southwest iran. an optimal design is completed for the two hidden layers with four different algorithms: gradient descent withmomentum (gdm), levenberg marquardt (lm), resilient back propagation (rp), and scaled conjugate gradient (scg). rain,evaporation, relative...

in this paper, the artificial neural network (ann) approach is applied for forecasting groundwater level fluctuation in aghili plain,southwest iran. an optimal design is completed for the two hidden layers with four different algorithms: gradient descent withmomentum (gdm), levenberg marquardt (lm), resilient back propagation (rp), and scaled conjugate gradient (scg). rain,evaporation, relative...

In four-dimensional variational data assimilation (4D-Var) an optimal estimate of the initial state of a dynamical system is obtained by solving a large-scale unconstrained minimization problem. The gradient of the cost functional may be efficiently computed using the adjoint modeling, at the expense equivalent to a few forward model integrations; for most practical applications, the evaluation...

This document describes Version of the conjugate gradient solver component of DAO s Physical space Statistical Analysis System PSAS An overview of the general PSAS algorithm is presented followed by an outline of the pre conditioned conjugate gradient algorithm and its implementation in PSAS A description of the main For tran subroutines related to the conjugate gradient solver is given with th...

This paper presents the adaptation of CORBFN, an evolutionary cooperative-competitive hybrid algorithm for the design of Radial Basis Function Networks, for short-term forecasting of the price of extra virgin olive oil. In the proposed cooperative-competitive environment, each individual represents a Radial Basis Function, and the entire population is responsible for the final solution. In orde...