Document Type
Closed Project
Publication Date
Winter 2013
Instructor
Timothy Anderson
Course Title
Research Methods
Course Number
ETM 565/665
Abstract
The application of microprocessor is expanding vastly through majority of products. Technological advancements in the microprocessor industry are benchmarked mainly against their performance. This paper is an analysis of possibility for grouping and forecasting microprocessors based on their application. This would create the opportunity for better forecasting of their performance or characteristics.
Persistent Identifier
http://archives.pdx.edu/ds/psu/21964
Citation Details
Rahimi, Noshad, "Is Application Dependent Forecasting of Microprocessors Possible?" (2013). Engineering and Technology Management Student Projects. 469.
http://archives.pdx.edu/ds/psu/21964
COinS
Description
This project is only available to students, staff, and faculty of Portland State University