The phrase "a more generalized model" is correct and usable in written English.
It can be used when discussing a model that is broader or more inclusive in its application or scope compared to a specific or specialized model.
Example: "In our research, we aim to develop a more generalized model that can be applied across various scenarios and not just in isolated cases."
Alternatives: "a broader model" or "a more inclusive model".
To develop a more generalized model more training data on battery lifetimes over various temperature and other operating conditions needs to be captured and utilised.
Trying to design a model that would work for everyone would have been too difficult, says Gallant, although he suspects a more generalized model could be developed in the future.
Despite the deviations between predicted and measured results, this approach allows the development of a "more" generalized model, with "low" computational cost.
But they shifted into a more generalized model around re-inventing business development between startups and brands.
Fick's second law for one-dimensional diffusion, as shown in Eq. (1), is a special case of a more generalized model of diffusion where concrete is assumed to be a homogenous material; chloride concentration at the exposure surface is considered constant; no chemical or physical binding between the diffusing species and material occurs; and the effect of co-existing ions is constant.
Now, in order to give a more generalized model, we consider a neutral equation with time-dependent delay and compact almost automorphic parameters given by dot{x}(t) = -delta(t)x t) + p t) xbigl t-r(t) bigr)e^{-a(t)xbigl t-r} + eta(t)dot{x}bigr(t - r(t)bigr) + g(t).
And then, this is a more generalized example.
It was also found that results from the accepted kinetic rate law approximation significantly deviated from those obtained from the more generalized model in many cases that may be of physiological importance.
A more generic model is the generalized viscoelastic model, which includes the Burgers model, Maxwell model and Kelvin model as its special cases.
A more generalized predictive model must be built from the simulated output.
