Your English writing platform
Discover LudwigSuggestions(5)
Exact(8)
NN modelling requires a substantial database of reliable data with which the NN is trained to learn the relationship between the input space and the output parameter.
In this paper, an extended MVU (EMVU) method is proposed, extending the utilization of MVU to new samples by approximating the nonlinear mapping between the input space and the output space with a Gaussian process model.
Kernel functions perform nonlinear mapping between the input space and a feature space.
Not all connections between the input space and encoding layer are shown.
If the relation between the input space and the output space is completely random, no learning can take place [4].
True function, f, is the (unknown) function, y = f(x), which models the relationship between the input space and the output space.
Similar(52)
They assume that there exists a simple relationship between distances in the input space and distances in feature space.
Kwok and Tsang [28] proposed another method that exploits the correspondence between distances in the input space and the feature space.
We obtain the best performance with a radial basis function, as the other kernels allow for long term interactions between distant points in the input space.
Each type of hypotheses must provide a way to compute a symmetrical and normalised index of similarity (ranging from 0 to 1) between two instances of the input space.
The underlying design issues being of particular practical interest in this modeling context deal with the dependencies between the level of reduction of the input space versus the granularity of the fuzzy model (viz. the number of its rules) and a quantification of an impact of the parameters of the granules (fuzzification coefficient) on the performance of the obtained model.
More suggestions(16)
between the interface space
between the measurement space
between the concert space
between the solution space
between the interlamellar space
between the cyber space
between the memory space
between the air space
between the sample space
between the bar space
between the input buffer
between the compression space
between the video space
between the input radio
between the actuation space
between the living space
Write better and faster with AI suggestions while staying true to your unique style.
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