Abstract
AURA (Advanced Uncertain Reasoning Architecture) is a generic family of techniques and implementations intended for high-speed approximate search and match operations on large unstructured datasets. AURA technology is fast, economical, and offers unique advantages for finding near-matches not available with other methods.
AURA is based on a high-performance binary neural network called Correlation Matrix Memory (CMM). Typically, several CMM elements are used in combination to solve soft or fuzzy pattern-matching problems. CMM has been the subject of research and development by Prof. Jim Austin and his group at York for more than 15 years, leading to a range of related methods now known collectively as AURA.
AURA is based on a high-performance binary neural network called Correlation Matrix Memory (CMM). Typically, several CMM elements are used in combination to solve soft or fuzzy pattern-matching problems. CMM has been the subject of research and development by Prof. Jim Austin and his group at York for more than 15 years, leading to a range of related methods now known collectively as AURA.
Original language | English |
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Publication status | Published - 1995 |