Claim Your Author Page
Ensure your research is discoverable on Semantic Scholar. Claiming your author page allows you to personalize the information displayed and manage publications.
In this work, an ecient training algorithm for feedforward neural networks is presented. It is based on a scaled version of the conjugate gradient method suggested by Perry, which employs the… (More)
This article presents some efficient training algorithms, based on conjugate gradient optimization methods. In addition to the existing conjugate gradient training algorithms, we introduce Perry's… (More)
Brain tumours grading is a crucial step for determining treatment planning and patient management. The grade of a tumour is defined by pathologists after reviewing biopsies under the microscope, a… (More)
Since the presentation of the backpropagation algorithm, several adaptive learning algorithms for training a multilayer perceptron (MLP) have been proposed. In a recent article, we have introduced an… (More)
k dk • 0. The gradient gk = rE(wk) easily can be obtained by means of back propagation of errors through the layers. Many local minimization methods have been applied to training feedforward neural… (More)
In this study, our goal is to employ a novel 3-D alignment method for dynamic positron emission tomography (PET) scans. Because the acquired data (i.e. sinograms) often contain noise considerably,… (More)