objective: the aim of this study was to examine the efficiency of ha-binding test and sperm gradient processing method for the selection of sperm with normal protamine, intact dna and normal morphology. materials and methods: the study was conducted on 29 patients undergoing icsi. semen analysis was carried out according to who criteria. semen samples were divided into three equal portions. one...

A new learning strategy is proposed for training of radial basis functions (RBF) network. We apply two different local optimization methods to update the output weights in training process, the gradient method and a combination of the gradient and Newton methods. Numerical results obtained in solving nonlinear integral equations show the excellent performance of the combined gradient method in ...

in this paper, the conjugate gradient method coupled with adjoint problem is used in order to solve the inverse heat conduction problem and estimation of the time- dependent heat flux using the temperature distribution at a point in a three layer system with none homogeneous boundary conditions. also, the effect of noisy data on final solution is studied. for solving this problem the general co...

thermal contact conductance (tcc) between an exhaust valve and its seat is one of the important parameters to be estimated in an internal combustion engine. an experimental study presented here to acquire temperature in some interior points to be used as inputs to an inverse analysis. an actual exhaust valve and its seat are utilized in a designed and constructed setup. conjugate gradient metho...

Decision Neural Network is a new approach for solving multi-objective decision-making problems based on artificial neural networks. Using inaccurate evaluation data, network training has improved and the number of educational data sets has decreased. The available training method is based on the gradient decent method (BP). One of its limitations is related to its convergence speed. Therefore,...