Multiple Linear Regression Using Neural Networks |
| Description: | Implements Shallow Feed-forward Neural Network Regression. Neural networks usually do not give you the coefficients of the regression model they use. Instead, you give these NNs the matrix X and column vector Y, and also a column of Xv values to predict the y values for. Neural networks can model with acceptable errors very complex nonlinear regression models. |
| Filename: | mlrnn.zip |
| ID: | 9824 |
| Author: | Namir Shammas |
| Downloaded file size: | 11,051 bytes |
| Size on calculator: | 21-36 KB |
| Platforms: | Prime |
| User rating: | Not yet rated (you must be logged in to vote) |
| Primary category: | Math |
| Languages: | ENG |
| File date: | 2026-03-01 17:50:46 |
| Creation date: | 2026-03-01 |
| Source code: | Included |
| Download count: | 2 |
| Version history: | 2026-08-11: Added to site
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| Archive contents: | Length Date Time Name
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20502 2026-03-01 18:50 mlrNN.hpprgm
25807 2026-03-01 18:50 mlrNN.html
16308 2026-03-01 18:50 testNN.hpprgm
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62617 3 files |
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