𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Classifying functional and non-functional model neurons using the theory of rough sets

✍ Scribed by Tomasz G Smolinski; Astrid A Prinz

Book ID
115006648
Publisher
BioMed Central
Year
2010
Tongue
English
Weight
142 KB
Volume
11
Category
Article
ISSN
1471-2202

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Identifying dominant factors for the cal
Identifying dominant factors for the calibration of a land-use cellular automata model using Rough Set Theory
✍ Fang Wang; Jean-Gabriel Hasbani; Xin Wang; Danielle J. Marceau πŸ“‚ Article πŸ“… 2011 πŸ› Elsevier Science 🌐 English βš– 761 KB

While cellular automata (CA) are increasingly used for modeling urban growth and land-use changes, the methods for identifying the dominant factors that drive the landscape dynamics when calibrating the model still require improvement, specifically in the context where a large number of factors are

Theoretical auger electron spectra of po
Theoretical auger electron spectra of polymers by density functional theory calculations using model dimers
✍ Takao Otsuka; Seiji Koizumi; Kazunaka Endo; Hiroyuki Kawabe; Delano P. Chong πŸ“‚ Article πŸ“… 2002 πŸ› John Wiley and Sons 🌐 English βš– 155 KB

## Abstract We propose a new approach for analysis of Auger electron spectra (AES) of polymers by density functional theory (DFT) calculations with the Slater's transition‐state concept. Simulated AES and X‐ray photoelectron spectra (XPS) of four polymers [(CH~2~CH~2~)~__n__~ (PE), (CH~2~CH(CH~3~))