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Cascabel_StandWithUkraine_
Cascabel_StandWithUkraine_
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I am writing a scientific paper. 

I have a neural network (assume it as a black box), which takes a case study (a patient, or any other type of data) as input, and provides a weight for the input case study that shows its importance between the other cases. 

I am wondering what I should call this black-boxblack-box. I first called it a weighing networkweighing network, but my friend said that weighing means measuring weight. In our case, the network is not measuring something which already exists, but it provides an appropriate weight for it. 

My other candidates are "weight-provider" and "weight-giver". Which one is more appropriate in this case? Any other suggestion is really welcome.

I am writing a scientific paper. I have a neural network (assume it as a black box), which takes a case study (a patient, or any other type of data) as input, and provides a weight for the input case study that shows its importance between the other cases. I am wondering what I should call this black-box. I first called it a weighing network, but my friend said that weighing means measuring weight. In our case, the network is not measuring something which already exists, but it provides an appropriate weight for it. My other candidates are "weight-provider" and "weight-giver". Which one is more appropriate in this case? Any other suggestion is really welcome.

I am writing a scientific paper. 

I have a neural network (assume it as a black box) which takes a case study (a patient, or any other type of data) as input and provides a weight for the input case study that shows its importance between the other cases. 

I am wondering what I should call this black-box. I first called it a weighing network, but my friend said that weighing means measuring weight. In our case, the network is not measuring something which already exists, but it provides an appropriate weight for it. 

My other candidates are "weight-provider" and "weight-giver". Which one is more appropriate in this case? Any other suggestion is really welcome.

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Anton
Anton
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What do we call something that assignassigns a weight to each case study which shows the importance of that case?

I am writing a scientific paper. I have a neural network (assume it as a black box), which takes a case study (a patient, or any other type of data) as input, and provides a weight for the input case study that shows its importance between the other cases. I am wondering what I should call this black-box. I first called it a weighing network, but my friend said that weighing means measuring weight. In our case, the network is not measuring something which is already exists, but it provides an appropriate weight for it. My other candidates are "weight-provider" and "weight-giver". Which one is more appropriate in this case? Any other suggestion is really welcomingwelcome.

What do we call something that assign a weight to each case study which shows the importance of that case?

I am writing a scientific paper. I have a neural network (assume it as a black box), which takes a case study (a patient, or any other type of data) as input, and provides a weight for the input case study that shows its importance between the other cases. I am wondering what I should call this black-box. I first called it a weighing network, but my friend said that weighing means measuring weight. In our case, the network is not measuring something which is already exists, but it provides an appropriate weight for it. My other candidates are "weight-provider" and "weight-giver". Which one is more appropriate in this case? Any other suggestion is really welcoming.

What do we call something that assigns a weight to each case study which shows the importance of that case?

I am writing a scientific paper. I have a neural network (assume it as a black box), which takes a case study (a patient, or any other type of data) as input, and provides a weight for the input case study that shows its importance between the other cases. I am wondering what I should call this black-box. I first called it a weighing network, but my friend said that weighing means measuring weight. In our case, the network is not measuring something which already exists, but it provides an appropriate weight for it. My other candidates are "weight-provider" and "weight-giver". Which one is more appropriate in this case? Any other suggestion is really welcome.

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user137927
user137927
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What do we call something that assign a weight to each case study which shows the importance of that case?

I am writing a scientific paper. I have a neural network (assume it as a black box), which takes a case study (a patient, or any other type of data) as input, and provides a weight for the input case study that shows its importance between the other cases. I am wondering what I should call this black-box. I first called it a weighing network, but my friend said that weighing means measuring weight. In our case, the network is not measuring something which is already exists, but it provides an appropriate weight for it. My other candidates are "weight-provider" and "weight-giver". Which one is more appropriate in this case? Any other suggestion is really welcoming.