Academic Journal
Multivariate Adaptive Regression Splines in Standard Cell Characterization for Nanometer Technology in Semiconductor
| Τίτλος: | Multivariate Adaptive Regression Splines in Standard Cell Characterization for Nanometer Technology in Semiconductor |
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| Συγγραφείς: | Liu, Taizhi |
| Πηγή: | MODID-6d55e02e354:IntechOpen |
| Στοιχεία εκδότη: | IntechOpen |
| Έτος έκδοσης: | 2018 |
| Θεματικοί όροι: | Computers / Programming / Algorithms, bisacsh:COM051300 |
| Περιγραφή: | Multivariate adaptive regression splines (MARSP) is a nonparametric regression method. It is an adaptive procedure which does not have any predetermined regression model. With that said, the model structure of MARSP is constructed dynamically and adaptively according to the information derived from the data. Because of its ability to capture essential nonlinearities and interactions, MARSP is considered as a great fit for high-dimension problems. This chapter gives an application of MARSP in semiconductor field, more specifically, in standard cell characterization. The objective of standard cell characterization is to create a set of high-quality models of a standard cell library that accurately and efficiently capture cell behaviors. In this chapter, the MARSP method is employed to characterize the gate delay as a function of many parameters including process-voltage-temperature parameters. Due to its ability of capturing essential nonlinearities and interactions, MARSP method helps to achieve significant accuracy improvement. |
| Τύπος εγγράφου: | article in journal/newspaper |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| ISBN: | 978-1-78923-250-9 1-78923-250-3 |
| DOI: | 10.5772/intechopen.74854 |
| Διαθεσιμότητα: | https://openresearchlibrary.org/viewer/0dd26923-fe27-47fe-90d6-439941b6ab32 https://openresearchlibrary.org/ext/api/media/0dd26923-fe27-47fe-90d6-439941b6ab32/assets/external_content.pdf https://doi.org/10.5772/intechopen.74854 |
| Rights: | https://creativecommons.org/licenses/by/4.0/legalcode |
| Αριθμός Καταχώρησης: | edsbas.CF0920BD |
| Βάση Δεδομένων: | BASE |
| ISBN: | 9781789232509 1789232503 |
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| DOI: | 10.5772/intechopen.74854 |