Dr. David B. Fogel
CEO at Natural Selection Inc
SPIE Involvement:
Conference Program Committee | Conference Chair | Author | Instructor
Publications (29)

PROCEEDINGS ARTICLE | May 20, 2006
Proc. SPIE. 6228, Modeling and Simulation for Military Applications
KEYWORDS: Genetic algorithms, Organisms, Computer simulations, Ecosystems, Genetics, Lanthanum, Evolvable hardware, Binary data, Systems modeling, Evolutionary algorithms

PROCEEDINGS ARTICLE | December 30, 2003
Proc. SPIE. 5200, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI
KEYWORDS: Software, Safety, Databases, Legal, Neural networks, Machine learning, Artificial intelligence, Lanthanum, Fuzzy systems, Evolutionary algorithms

PROCEEDINGS ARTICLE | December 6, 2002
Proc. SPIE. 4787, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V
KEYWORDS: Mathematical modeling, Data modeling, Computer programming, Transform theory, Neural networks, Chlorine, Chemical elements, Lanthanum, Optimization (mathematics), Evolutionary algorithms

PROCEEDINGS ARTICLE | November 14, 2001
Proc. SPIE. 4479, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation IV
KEYWORDS: Lithium, Genetic algorithms, Neural networks, Promethium, Lanthanum, Binary data, Astatine, Fuzzy systems, Evolutionary algorithms, Algorithms

Showing 5 of 29 publications
Conference Committee Involvement (13)
Intelligent Computing: Theory and Applications IV
17 April 2006 | Orlando (Kissimmee), Florida, United States
Intelligent Computing: Theory and Applications III
28 March 2005 | Orlando, Florida, United States
Intelligent Computing: Theory and Applications II
12 April 2004 | Orlando, Florida, United States
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI
5 August 2003 | San Diego, California, United States
Applications and Science of Neural Networks,Fuzzy Systems, and Evolutionary Computation V
9 July 2002 | Seattle, WA, United States
Showing 5 of 13 published special sections
Course Instructor
SC150: Fundamentals of Evolutionary Computation for Optimization
Natural evolution is a population-based optimization process. Computer simulation of natural evolution results in stochastic optimization techniques that surpass traditional optimization methods. This course will provide a background in the inspiration, history, and application of evolutionary computation methods with particular emphasis on problems within signal processing. System identification, pattern recognition, automatic control, and gaming demonstrate useful hybridization between evolutionary computation and fuzzy and neural systems.
SC629: Computational Intelligence in Homeland Security Applications
This course provides attendees with an introduction to the fundamentals of neural networks and evolutionary computation and the manner in which they can be applied to applications in homeland security. The course concentrates on applying computational intelligence methods to pattern discovery and recognition in security problems with examples in areas including risk assessment, physical security, and personal identification. You will learn how to apply computational intelligence methods to problems and how to choose appropriate design parameters.
SC405: Evolutionary Computation and Neural Networks in Signal Processing
This course is an introduction to the central concepts that underlie evolutionary and neural computation and describes how to apply these methods to typical problems in signal processing, including time series prediction, classification, clustering, and control. Fundamental issues involving data representation, search operations, selection, and other facets of problem solving are addressed.
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