â  abstract: in this paper, artificial neural network (ann) was used for modeling the nonlinear structure of a debutanizer column in a refinery gas process plant. the actual input-output data of the system were measured in order to be used for system identification based on root mean square error (rmse) minimization approach. it was shown that the designed recurrent neural network is able to pr...

in this work, an unstructured-type mathematical model was developed to simulatecadmium (cd2+) removal by desulfovibrio alaskensis 6sr, which is a recently described sulfatereducing bacterium, whose capacity for removing heavy metals are being studied. three processesare considered in the model: 1) the sulfate reduction process, 2) the consumption of lactate ascarbon source, and 3) the metal rem...

in this work, an unstructured-type mathematical model was developed to simulatecadmium (cd2+) removal by desulfovibrio alaskensis 6sr, which is a recently described sulfatereducing bacterium, whose capacity for removing heavy metals are being studied. three processesare considered in the model: 1) the sulfate reduction process, 2) the consumption of lactate ascarbon source, and 3) the metal rem...

Dynamic response analysis of mechanical structures is usually performed by adopting numerical/analytical models. Finite element (FE) modeling as a numerical approach plays an important role in dynamic response analysis of complex structures. The calculated dynamic responses from FE analysis are only reliable if accurate FE models are used. There are many elements in real mechanical structures w...

algal growth and the water quality effects were studied and modeled in the lower reaches of the colusa basin drain as a stream system. statistical techniques such as the correlation matrix and the stepwise multiple regression are performed on such variables as algal biomass, ammonia, nitrate, orthophosphate, temperature, and the solar radiation intensity in deriving an algae statistical model. ...

the long term goal attaining of economic system management requires the establishment of a dynamic framework to integrate multiple perspectives. this article considers the problem of economic development in macro level. as economic systems are complex adaptive systems composed of numerous numbers of components of dynamic and multidimensional nature, dynamics method is applied in this research. ...

this paper deals with the problem of optimizing two-stage structure decision making units (dmus) where the activity and the performance of two-stage dmu in one period effect on its efficiency in the next period. to evaluate such systems the effect of activities in one period on ones in the next term must be considered. to do so, we propose a dynamic dea approach to measure the performance of su...

system dynamics is a strategic approach for modeling complex systems and analyzing their behavior. dynamic behavior in entrepreneurial system can be modeled using system dynamics approach and dynamic hypotheses about the system`s behavior can be proposed and tested using simulation and computer aided tools. however, as the review of literature shows, studies which link system dynamics modeling ...

quadruped robots have unique capabilities for motion over uneven natural environments. this article presents a stable gait for a quadruped robot in such motions and discusses the inverse-dynamics control scheme to follow the planned gait. first, an explicit dynamics model will be developed using a novel constraint elimination method for an 18-dof quadruped robot. thereafter, an inverse-dynamics...