Information Analysis Infrastructure for Diagnosis
Hardware Architecture
2012-01-05 v1
Abstract
A high-speed multiprocessor architecture for brain-like analyzing information represented in analytic, graph- and table forms of associative relations to search, recognize and make a decision in n-dimensional vector discrete space is offered. Vector-logical process models of actual applications, where the quality of solution is estimated by the proposed integral non-arithmetical metric of the interaction between binary vectors, are described. The theoretical proof of the metric for a vector logical space and the quality criteria for estimating solutions is created.
Cite
@article{arxiv.1201.0954,
title = {Information Analysis Infrastructure for Diagnosis},
author = {Vladimir Hahanov and Wajeb Gharibi and Eugenia Litvinova and Svetlana Chumachenko},
journal= {arXiv preprint arXiv:1201.0954},
year = {2012}
}
Comments
15 pages; INFORMATION: An International Interdisciplinary Journal, Vol. 14, No. 7, July 2011. Tokyo. arXiv admin note: substantial text overlap with arXiv:1105.1973