Content deleted Content added
→Bidirectional associative memory: Linking. |
|||
Line 159:
{{Main|Bidirectional associative memory}}
Introduced by [[Bart Kosko]],<ref>{{cite journal |year=1988 |title=Bidirectional associative memories |journal=IEEE Transactions on Systems, Man, and Cybernetics |volume=18 |issue=1 |pages=49–60 |doi=10.1109/21.87054 |last1=Kosko |first1=Bart |s2cid=59875735 }}</ref> a bidirectional associative memory (BAM) network is a variant of a Hopfield network that stores associative data as a vector. The bidirectionality comes from passing information through a matrix and its [[transpose]]. Typically, [[bipolar encoding]] is preferred to binary encoding of the associative pairs. Recently, stochastic BAM models using [[Markov chain|Markov]] stepping were optimized for increased network stability and relevance to real-world applications.<ref>{{cite journal |last1=Rakkiyappan |first1=Rajan |last2=Chandrasekar |first2=Arunachalam |last3=Lakshmanan |first3=Subramanian |last4=Park |first4=Ju H. |date=2 January 2015 |title=Exponential stability for markovian jumping stochastic BAM neural networks with mode-dependent probabilistic time-varying delays and impulse control |journal=Complexity |volume=20 |issue=3 |pages=39–65 |doi=10.1002/cplx.21503 |bibcode=2015Cmplx..20c..39R }}</ref>
A BAM network has two layers, either of which can be driven as an input to recall an association and produce an output on the other layer.<ref>{{cite book
| |||