Bidirectional associative memory

Known as: Associative memory, Bam, Resonance Network 
Bidirectional associative memory (BAM) is a type of recurrent neural network. BAM was introduced by Bart Kosko in 1988. There are two types of… (More)
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2014
2014
Previous research has shown that Bidirectional Associative Memories (BAM), a special type of artificial neural network, can… (More)
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Highly Cited
2008
Highly Cited
2008
In the paper, the global asymptotic stability of equilibrium is considered for continuous bidirectional associative memory (BAM… (More)
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2007
2007
A new BAM model is presented that uses a chaotic output function operating in chaotic mode during recall. Our results show that… (More)
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Highly Cited
2005
Highly Cited
2005
  • Sabri Arik
  • IEEE Transactions on Neural Networks
  • 2005
This paper presents a sufficient condition for the existence, uniqueness and global asymptotic stability of the equilibrium point… (More)
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Highly Cited
2003
Highly Cited
2003
Global asymptotic stability of the equilibrium point of bidirectional associative memory (BAM) neural networks with continuously… (More)
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2000
2000
In contrast to conventional feedback bidirectional associative Memory (BAM) network models, a feedforward BAM network is… (More)
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Highly Cited
1999
Highly Cited
1999
The theory of artificial neural networks has been successfully applied to a wide variety of pattern recognition problems. In this… (More)
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Highly Cited
1994
Highly Cited
1994
It is shown that if the neuronal gains are small compared with the synaptic connection weights, then a bidirectional associative… (More)
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Highly Cited
1990
Highly Cited
1990
Enhancements of the encoding strategy of a discrete bidirectional associative memory (BAM) reported by B. Kosko (1987) are… (More)
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1988
Highly Cited
1988
  • Bart Kosko
  • IEEE Trans. Systems, Man, and Cybernetics
  • 1988
Ahtract -Stability and encoding properties of two-layer nonlinear feedback neural networks are examined. Bidirectionality… (More)
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