This paper addresses the problem of designing associative memories based on quaternion-
valued neural networks (QVNNs). A system designing procedure for QVNNs is developed by …

This article is concerned with the study of scalability in nonlinear heterogeneous networks
affected by communication delays and disturbances. After formalizing the notion of …

This paper focuses on the synchronization issue of master-slave neural network with
multiple time-varying delays by way of an enhanced stretchy event-triggered mechanism …

In this paper a new associative classification algorithm is presented. The proposed algorithm
overcomes the limitations of the original Alpha-Beta associative memory, while maintaining …

By associative memory, people can remember a pattern in microseconds to seconds. In
order to emulate human memory, an artificial neural network should also spend a …

The circuitry and pathways in the brains of humans and other species have long inspired
researchers and system designers to develop accurate and efficient systems capable of …

Recent years have seen increased attention being given to recurrent neural networks in
associative memory applications. The activation function is the core of the recurrent neural …

This paper formulates multiple exponential stability and instability for a class of state-
dependent switched neural networks (NNs) with time-varying delays in two cases of …

This paper presents an extended continuous bidirectional associative memory network
(CBAM) and a new ring recurrent network to behave as associative memories with external …

Human associative memory function is simulated by neural networks. Memory patterns are
designed as network equilibrium points. It is difficult to compute network parameters and …