جستجو در تالارهای گفتگو

Introducing a modified gradient vector method for optimization of accident prediction non-linear functions Shahriar Afandizadeh, Mahmud Ameri, Mohammad Hassan Mirabi Moghaddam ⇑ Department of Civil Engineering, Iran University of Science and Technology, Tehran, Iran a b s t r a c t In this paper, a new optimization method has been proposed for accident prediction nonlinear models. This has been achieved by eliminating the Hessian matrix from the equation of optimal pace length in the gradient vector method. One advantage is that it is independent of the starting point in optimization processes and it provides convergence at the highest top as well. This method has been tested on an accident prediction model and its preference over the gradient vector method has been proven. 2011 Elsevier Inc. All rights reserved. Keywords: Accident prediction model Optimization Gradient vector Convergence Optimal pace length Hessian matrix 1-s2.0-S0307904X11002137-main.pdf