Dendrite Growth Model Using Front Tracking Technique with New Growth Algorithm
نویسندگان
چکیده
منابع مشابه
Forecasting GDP Growth Using ANN Model with Genetic Algorithm
Applying nonlinear models to estimation and forecasting economic models are now becoming more common, thanks to advances in computing technology. Artificial Neural Networks (ANN) models, which are nonlinear local optimizer models, have proven successful in forecasting economic variables. Most ANN models applied in Economics use the gradient descent method as their learning algorithm. However, t...
متن کاملforecasting gdp growth using ann model with genetic algorithm
applying nonlinear models to estimation and forecasting economic models are now becoming more common, thanks to advances in computing technology. artificial neural networks (ann) models, which are nonlinear local optimizer models, have proven successful in forecasting economic variables. most ann models applied in economics use the gradient descent method as their learning algorithm. however, t...
متن کاملMacroscopic Model for Predicting Columnar to Equiaxed Transitions using Columnar Front Tracking and Average Equiaxed Growth
A macroscopic model of Columnar-to-Equiaxed Transition (CET) formation is presented. The growth of a columnar zone and an equiaxed zone are treated separately and modeled on a fixed grid. The model uses a columnar Front Tracking (FT) formulation to compute the motion of the columnar front and the solidification of the dendritic columnar mushy zone. The model for the equiaxed zone calculates the...
متن کاملA New Algorithm for Cell Tracking Technique
Tracking cell mobility analysis is essential process in many biology studies. Accurate and sensitive cell tracking system is essential to cell motility studies. To improve the overall living cells tracking systems performance and improve the accuracy, we focused on developing a novel algorithm for image processing. The algorithm we propose presents novel image segmentation and tracking system t...
متن کاملMultiple Target Tracking With a 2-D Radar Using the JPDAF Algorithm and Combined Motion Model
Multiple target tracking (MTT) is taken into account as one of the most important topics in tracking targets with radars. In this paper, the MTT problem is used for estimating the position of multiple targets when a 2-D radar is employed to gather measurements. To do so, the Joint Probabilistic Data Association Filter (JPDAF) approach is applied to tracking the position of multiple targets. To ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ISIJ International
سال: 2006
ISSN: 0915-1559,1347-5460
DOI: 10.2355/isijinternational.46.909