Finding weights of independent features with an artificial neural network?
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I have a table of data where three inputs (sfm, fr, and doc) create two outputs (mmr and ra). I'd like to use a neural network to find the associations between the input and output layers, in a format of weights preferably. The weighted columns I'm looking for are the first three then, so I can generate formulas to represent unknown parameters for the first three columns when there is a known output of the last two columns. Not that it matters for the advice I'm asking for but just so you know, a "better output" is one with as high of an mmr as possible and low of a ra as possible. This is unordered data. Any suggestions on how to go about this? Preferably with Keras? Below is some sample data
sfm fr doc mmr ra
60 0.15 0.1 449.6 1.85
60 0.15 0.2 896.78 0.86
60 0.15 0.25 1116.34 1.28
60 0.2 0.1 593.46 1.42
60 0.2 0.2 1183.62 0.91
60 0.2 0.25 1473.34 1.91
60 0.25 0.1 734.26 1.59
60 0.25 0.2 1464.41 1.52
60 0.25 0.25 1822.79 1.07
70 0.15 0.1 503.3 1.42
70 0.15 0.2 1003.74 0.89
70 0.15 0.25 750.31 0.99
70 0.2 0.1 665.35 1.12
70 0.2 0.2 1326.9 1.96
70 0.2 0.25 1651.5 1.73
70 0.25 0.1 822.97 0.99
70 0.25 0.2 1641.19 1.17
70 0.25 0.25 2042.57 0.85
machine-learning python keras parameter-estimation
asked 2 days ago
55thSwiss55thSwiss
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I have a table of data where three inputs (sfm, fr, and doc) create two outputs (mmr and ra). I'd like to use a neural network to find the associations between the input and output layers, in a format of weights preferably. The weighted columns I'm looking for are the first three then, so I can generate formulas to represent unknown parameters for the first three columns when there is a known output of the last two columns. Not that it matters for the advice I'm asking for but just so you know, a "better output" is one with as high of an mmr as possible and low of a ra as possible. This is unordered data. Any suggestions on how to go about this? Preferably with Keras? Below is some sample data
sfm fr doc mmr ra
60 0.15 0.1 449.6 1.85
60 0.15 0.2 896.78 0.86
60 0.15 0.25 1116.34 1.28
60 0.2 0.1 593.46 1.42
60 0.2 0.2 1183.62 0.91
60 0.2 0.25 1473.34 1.91
60 0.25 0.1 734.26 1.59
60 0.25 0.2 1464.41 1.52
60 0.25 0.25 1822.79 1.07
70 0.15 0.1 503.3 1.42
70 0.15 0.2 1003.74 0.89
70 0.15 0.25 750.31 0.99
70 0.2 0.1 665.35 1.12
70 0.2 0.2 1326.9 1.96
70 0.2 0.25 1651.5 1.73
70 0.25 0.1 822.97 0.99
70 0.25 0.2 1641.19 1.17
70 0.25 0.25 2042.57 0.85
machine-learning python keras parameter-estimation
asked 2 days ago
55thSwiss55thSwiss
12
New contributor
55thSwiss is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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add a comment |
$begingroup$
I have a table of data where three inputs (sfm, fr, and doc) create two outputs (mmr and ra). I'd like to use a neural network to find the associations between the input and output layers, in a format of weights preferably. The weighted columns I'm looking for are the first three then, so I can generate formulas to represent unknown parameters for the first three columns when there is a known output of the last two columns. Not that it matters for the advice I'm asking for but just so you know, a "better output" is one with as high of an mmr as possible and low of a ra as possible. This is unordered data. Any suggestions on how to go about this? Preferably with Keras? Below is some sample data
sfm fr doc mmr ra
60 0.15 0.1 449.6 1.85
60 0.15 0.2 896.78 0.86
60 0.15 0.25 1116.34 1.28
60 0.2 0.1 593.46 1.42
60 0.2 0.2 1183.62 0.91
60 0.2 0.25 1473.34 1.91
60 0.25 0.1 734.26 1.59
60 0.25 0.2 1464.41 1.52
60 0.25 0.25 1822.79 1.07
70 0.15 0.1 503.3 1.42
70 0.15 0.2 1003.74 0.89
70 0.15 0.25 750.31 0.99
70 0.2 0.1 665.35 1.12
70 0.2 0.2 1326.9 1.96
70 0.2 0.25 1651.5 1.73
70 0.25 0.1 822.97 0.99
70 0.25 0.2 1641.19 1.17
70 0.25 0.25 2042.57 0.85
machine-learning python keras parameter-estimation
asked 2 days ago
55thSwiss55thSwiss
12
New contributor
55thSwiss is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I have a table of data where three inputs (sfm, fr, and doc) create two outputs (mmr and ra). I'd like to use a neural network to find the associations between the input and output layers, in a format of weights preferably. The weighted columns I'm looking for are the first three then, so I can generate formulas to represent unknown parameters for the first three columns when there is a known output of the last two columns. Not that it matters for the advice I'm asking for but just so you know, a "better output" is one with as high of an mmr as possible and low of a ra as possible. This is unordered data. Any suggestions on how to go about this? Preferably with Keras? Below is some sample data
sfm fr doc mmr ra
60 0.15 0.1 449.6 1.85
60 0.15 0.2 896.78 0.86
60 0.15 0.25 1116.34 1.28
60 0.2 0.1 593.46 1.42
60 0.2 0.2 1183.62 0.91
60 0.2 0.25 1473.34 1.91
60 0.25 0.1 734.26 1.59
60 0.25 0.2 1464.41 1.52
60 0.25 0.25 1822.79 1.07
70 0.15 0.1 503.3 1.42
70 0.15 0.2 1003.74 0.89
70 0.15 0.25 750.31 0.99
70 0.2 0.1 665.35 1.12
70 0.2 0.2 1326.9 1.96
70 0.2 0.25 1651.5 1.73
70 0.25 0.1 822.97 0.99
70 0.25 0.2 1641.19 1.17
70 0.25 0.25 2042.57 0.85
machine-learning python keras parameter-estimation
machine-learning python keras parameter-estimation
asked 2 days ago
55thSwiss55thSwiss
12
New contributor
55thSwiss is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
55thSwiss55thSwiss
12
New contributor
55thSwiss is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 2 days ago
55thSwiss
asked 2 days ago
55thSwiss55thSwiss
12
New contributor
55thSwiss is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
55thSwiss55thSwiss
12
asked 2 days ago
55thSwiss55thSwiss
12
12
New contributor
55thSwiss is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
55thSwiss is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
55thSwiss is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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