Analysis of decision boundaries in linearly combined neural classifiers
β Scribed by Kagan Tumer; Joydeep Ghosh
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 638 KB
- Volume
- 29
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Study objective: To determine which clinical variables drive the output of an artificial neural network trained to identify the presence of myocardial infarction. Design: Partial output analysis. Setting: Tertiary university teaching center. Participants: Seven hundred six patients more than 18 y
## Abstract A combined approach of the finiteβelement and boundaryβelement methods is formulated for the analysis of arbitrarily shaped discontinuities in a grounded slab waveguide. In this approach, the discontinuity region is divided into two regions. One is a finite region with arbitrary inhomog