发明名称 Method and structure for a neural associative memory based on optimal Bayesian learning
摘要 This invention is in the field of machine learning and neural associative memory. In particular the invention discloses a neural associative memory structure for storing and maintaining associations between memory address patterns and memory content patterns using a neural network, as well as methods for storing and retrieving such associations. Bayesian learning is applied to achieve non-linear learning.
申请公布号 EP2259215(B1) 申请公布日期 2016.08.10
申请号 EP20090175410 申请日期 2009.11.09
申请人 HONDA RESEARCH INSTITUTE EUROPE GMBH 发明人 KNOBLAUCH, ANDREAS
分类号 G06N7/00;G06N3/04 主分类号 G06N7/00
代理机构 代理人
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