Curve Fitting By Predict polynomial degree with ANNs
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My Science Fair Project is on Curve fitting with neural nets as an alternative to polynomials. I know this is a widely done procedure in datascience but I wanted to do my own research on it. Currently the biggest problem is training time, and to solve that I had an idea. What if I I trained an ANN to predict the degree of the polynomial that best fits the model then use standard polynomial regression to curve fit. This would make the training only happen once so I could train for as long as I wanted, and thus it would increase speed by a lot. What are your thought in this? Has anyone done this before? Is it plausible?
neural-network regression
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$begingroup$
My Science Fair Project is on Curve fitting with neural nets as an alternative to polynomials. I know this is a widely done procedure in datascience but I wanted to do my own research on it. Currently the biggest problem is training time, and to solve that I had an idea. What if I I trained an ANN to predict the degree of the polynomial that best fits the model then use standard polynomial regression to curve fit. This would make the training only happen once so I could train for as long as I wanted, and thus it would increase speed by a lot. What are your thought in this? Has anyone done this before? Is it plausible?
neural-network regression
$endgroup$
add a comment |
$begingroup$
My Science Fair Project is on Curve fitting with neural nets as an alternative to polynomials. I know this is a widely done procedure in datascience but I wanted to do my own research on it. Currently the biggest problem is training time, and to solve that I had an idea. What if I I trained an ANN to predict the degree of the polynomial that best fits the model then use standard polynomial regression to curve fit. This would make the training only happen once so I could train for as long as I wanted, and thus it would increase speed by a lot. What are your thought in this? Has anyone done this before? Is it plausible?
neural-network regression
$endgroup$
My Science Fair Project is on Curve fitting with neural nets as an alternative to polynomials. I know this is a widely done procedure in datascience but I wanted to do my own research on it. Currently the biggest problem is training time, and to solve that I had an idea. What if I I trained an ANN to predict the degree of the polynomial that best fits the model then use standard polynomial regression to curve fit. This would make the training only happen once so I could train for as long as I wanted, and thus it would increase speed by a lot. What are your thought in this? Has anyone done this before? Is it plausible?
neural-network regression
neural-network regression
asked 9 mins ago
Shrey JoshiShrey Joshi
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