Mathematical programming for piecewise linear regression analysis
• A novel piece-wise linear regression method has been proposed in this work. • The method partitions samples into multiple regions from a single attribute. • Each region is fitted with a linear regression function. • An optimisation model is proposed to decide break-points and regression functions....
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yang, Lingjian [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: Do denture processing techniques affect the mechanical properties of denture teeth? - Clements, Jody L. ELSEVIER, 2017, an international journal, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:44 ; year:2016 ; pages:156-167 ; extent:12 |
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| DOI / URN: |
10.1016/j.eswa.2015.08.034 |
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| 520 | |a • A novel piece-wise linear regression method has been proposed in this work. • The method partitions samples into multiple regions from a single attribute. • Each region is fitted with a linear regression function. • An optimisation model is proposed to decide break-points and regression functions. • Benchmark examples have been used to demonstrate its efficiency. | ||
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• A novel piece-wise linear regression method has been proposed in this work. • The method partitions samples into multiple regions from a single attribute. • Each region is fitted with a linear regression function. • An optimisation model is proposed to decide break-points and regression functions. • Benchmark examples have been used to demonstrate its efficiency. |
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• A novel piece-wise linear regression method has been proposed in this work. • The method partitions samples into multiple regions from a single attribute. • Each region is fitted with a linear regression function. • An optimisation model is proposed to decide break-points and regression functions. • Benchmark examples have been used to demonstrate its efficiency. |
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