Year: 2012
Type: article
Abstract: Objectives and GoalsThis course explores soft computation from historical, theoretical, and application viewpoints.Soft computing methods to be considered include evolutionary computation, neural computation, fuzzy set theory, and approximate reasoning.Applications to problems in optimization, control, and classification will be presented. Recommended Preparation* Familiarity with multivariate calculus, linear algebra and matrix algebra.* Familiarity with basic descriptive and inferential statistics.* Mastery of at least one programming language.* Mastery of practical data structures and basic complexity analysis.* MATLAB experience desirable, but not necessary
Author: John C. Gallagher
Institution: Wright State University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1574478135