Bidirectional Associative Memory Neural Networks Involving Zones of No Activation/Dead Zones

  • V. Sree Hari Rao
  • P. Raja Sekhara Rao
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 834)


This article purports to present a systematically developed survey on the influence of zones of no activation/dead zones in bidirectional associative memory (BAM) neural networks. The modeling effort based on the concept of dead zones is capable of explaining very intricate phenomena concerned with the functioning of the human brain. Activation dynamic models presented in this article provide a platform for the development of artificial neural network models. Several questions of importance that arise in the modeling of these systems have been discussed in this article. More precisely, the influence of a dead zone on the global stability, which is associated with the recall of memories, is investigated and various easily verifiable sets of sufficient conditions are provided. Directions for further research related to the incorporation of various possible kinds of dead zones that occur naturally in biological or artificial systems are discussed.


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© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Mathematics and StatisticsMissouri University of Science & TechnologyRollaUSA
  2. 2.Foundation for Scientific Research and Technological Innovation (FSRTI)HyderabadIndia
  3. 3.Government PolytechnicKalidindiIndia

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