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The major components of the model comprise mathematical functions applied to predict the influence of concrete composition, and environmental factors on natural carbonation.
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Various mathematical functions are applied to the data, resulting in several ANN models, such as backpropagation, probabilistic and others.
The main optimisation techniques are shown, emphasising that different scalar/vector objective functions applied to the same mathematical model give different topologies.
When making predictions, a model or mathematical function is applied to certain inputs to obtain an estimate of a certain output.
Agent-based models use recursive mathematical functions and computer code to apply for definite inputs.
The immediate objectives of this project strive to map the surface and define boundaries of 3D facial soft tissue, modify and apply mathematical functions to average multiple 3D facial soft tissue photographic images, and mathematically average 3D facial soft tissue images allowing generation of color-coded surface deviation relative to a true average.
The UR is calculated from non-threshold mathematical functions assuming that these apply outside the range of experimental observations to yield estimates of risks at the lower doses (e.g. Cal EPA 2005).
Agent-based models are the models which represent recursive mathematical functions, computer code that are applied to a definite set of inputs.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com