Suggestions(1)
Exact(1)
First, a decision tree learning algorithm is adopted to train the VIV mode classification model by mapping the relationship between wind characteristics and VIV mode; this can be employed to automatically identify VIV modes.
Similar(59)
The short-comings of batch-mode learning have been studied and reported in [ 4], specifically its time latency in rebuilding the classification model whenever an additional record arrives.
The results indicate that the classification model and regression model can, respectively, accurately identify and predict the VIV response for various modes of the investigated bridge.
Corresponding mode classification maps were constructed.
Fig. 1 Text classification model framework.
Feature-extraction neuron-fuzzy classification model.
First, a classification model was developed to group chemicals as active/inactive respect to CA. A procedure for extracting structural information from orthogonalized TOPS-MODE descriptors was then implemented.
Some of the results are presented and comparisons made which shed new light on mode classification.
We focus attention on determination of local electron plasma density, essential for provisional HF mode classification.
With the aid of theoretical analysis, three groups of vibration modes are defined and employed for making the mode classification.
Then, a mode classification chart is given based on simulations with tubes of various dimensions.
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