Bidirectional associative memory (BAM) proposed by Kosko is a recurrent heteroassociative memory consisting of two layers (Figure 2). It is considered an extension of a Hopfield network, and performs recurrent autoassociations as well as heteroassociations on the stored memories.
The network is trained by interactions of two layers. The input x of x layer is processed and transferred the output of Y layer:
X layer x1 x2 Figure 2 Diagram of a BAM.
n where a(.) is a threshold function and Wis a weight vector. Vector y of Y layer feeds to the X layer and produces output x:
and x then feeds into the input of Y layer in turn and producesy" using eqn . The learning process continues until further updates of x and y stop.
A BAM can further be generalized to enable multiple associations (xk, yl,z, ...), k = 1, 2...,p., This is called multidirectional associative memory.
Was this article helpful?
Learning About 10 Ways Fight Off Cancer Can Have Amazing Benefits For Your Life The Best Tips On How To Keep This Killer At Bay Discovering that you or a loved one has cancer can be utterly terrifying. All the same, once you comprehend the causes of cancer and learn how to reverse those causes, you or your loved one may have more than a fighting chance of beating out cancer.