Mathematically Inspired Environment Classification and Identification: Simplicial Complex Hierarchy
We provide a mathematical foundation for a biologically inspired hierarchical identification and classification system. We describe lines detected by the viual cortex in terms of natural basis elements, upon which simplicial complexes are erected to describe simple objects. Simple objects are basis elements in the next level of the hierarchy, and objects are descirbed simply in terms of them. This is continued through several levels of the hierarchy, and each level identifies somewhat more complex objects onto a manifold the previous level. Projections of the identified objects onto a manifold provides a natural and useful representation of the system's environment.
R. S. Woodley et al., "Mathematically Inspired Environment Classification and Identification: Simplicial Complex Hierarchy," Intelligent Engineering Systems through Artificial Neural Networks, vol. 14, pp. 75-80, American Society of Mechanical Engineers (ASME), Nov 2004.
Artificial Neural Networks in Engineering Conference, ANNIE 2004 (2004: Nov. 7-10, St. Louis, MO)
Mathematics and Statistics
Electrical and Computer Engineering
Keywords and Phrases
Neural networks; Artificial life; Complex systems; Fuzzy logic; Programming
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2004 American Society of Mechanical Engineers (ASME), All rights reserved.