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Simulation and field test of the fuzzy system have shown that fuzzy logic based modelling is a promising approach to improving intersection delay estimation.
Agent based modelling is a way of trying to examine the evolutionary potential of any given system.
Since agent based modelling is a technique that is used in these disciplines as well, it would be interesting technique in realising interdisciplinary research in this field.
Agent based modelling is a persistent approach consisting of collection of states, rules and agents which interacts with each other mutually modifying their states by following the certain rules.
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This first-principles based model is a coupled system of partial and ordinary differential equations, which is a reduced version of the Doyle Fuller Newman model.
Therefore, it seems that ER based model is a suitable method for evaluating LNM.
Given the higher rates of substance dependence in HCV-infected populationsulations compared to the general population [ 6], treatment of concurrent substance use disorders, either through harm reduction or abstinence based models, is an important component of pre-HCV therapy stabilization.
This NN based model is currently a single-station model, since the NNs were trained with only Grahamstown data.
Here, a mechanism based model is combined with a more limited set of experiments to obtain the same results.
Individual-based modelling is a promising tool for scaling from the individual to the population and community levels that allows a wide range of applied and theoretical approaches.
Agent-based modelling is a powerful simulation technique that considers the individual behaviours of system components by defining a set of rules that govern how individuals ("agents") within given populations interact with one another and the environment.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com