CS 7840: Soft Computing
John Christopher Gallagher · CORE Scholar (Wright State University) · 2012
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