associative memory neural networks
Existence and exponential stability of anti periodic solutions for interval general bidirectional associative memory neural networks with multiple delays
... In this article, we will consider the a class of interval general bidirectional associative memory (BAM) neural networks with multiple delays. Based on the fundamental solution matrix of ...
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Passivity analysis of spatially and temporally BAM neural networks with the Neumann boundary conditions
... bidirectional associative memory neural networks (BAM NNs) with reaction-diffusion terms is investigated, for which the input and output variables are varied with the time and space ...
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Associative Neural Network
... feed-forward neural network (ANN) is a memoryless ...the neural network weights and input data are no longer needed, ...the memory-based approaches. These approaches keep in memory the entire ...
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Neural Associative Memory for Dual Sequence Modeling
... recurrent neural networks (RNN) that convey information over time through an in- ternal memory ...its memory state, which avoids the prob- lem of vanishing gradients that hindered previous RNN ...
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Exponential stability criteria for fuzzy bidirectional associative memory Cohen Grossberg neural networks with mixed delays and impulses
... Cohen-Grossberg neural networks with mixed delays and impulses. By constructing an appropriate Lyapunov function and a new differential inequality, we obtain some sufficient conditions which ensure the ...
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Anti periodic oscillations of bidirectional associative memory (BAM) neural networks with leakage delays
... The main objective of this article is to analyze the exponential stability behavior of anti- periodic oscillations of (1.4). Based on the fundamental solution matrix, Lyapunov func- tion, and fundamental function ...
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Edge Preserving Image Compressor (EPIC) in Medical Image Using Dynamic Associative Neural Networks
... propagation neural network training algorithm has been used. The neural network model has been trained and tested for the different types of DICOM ...propagation neural network algorithm helps to ...
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Bidirectional Associative Memory Neural Network for Data Encryption and Decryption
... Lately backpropagation neural networks have been used for encryption purposes. It is based on the logic that if an encrypted message has N+N ’ bits, it will only have 2N valid states. The receiver needs to ...
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Exponential convergence of Cohen Grossberg neural networks with continuously distributed leakage delays
... Cohen-Grossberg neural networks (CGNNs) have been successfully applied in many fields such as pattern recognition, parallel computing, associative mem- ory, and combinatorial optimization (see ...the ...
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NEW SUFFICIENT CRITERIA FOR GLOBAL ROBUST STABILITY OF NEURAL NETWORKS WITH MULTIPLE TIME DELAYS
... years, neural networks have been applied to various signal processing problems such as optimization, image processing and associative memory ...designed neural network. One of the key ...
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Robust Exponential Memory in Hopfield Networks
... these networks appeared earlier (see, ...for memory and coding have mainly focused on storing collections of pat- terns X using a “one-shot” outer-product rule (OPR) for learning, which essentially assigns ...
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Evolutionary and Hebbian analysis of hierarchically coupled associative memories
... of associative memory in which some of the long and short-range cortico- cortical connections implement the storage and retrieval of global patterns [29], [32], and ...sociative memory based on ...
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Integro differential inequality and stability of BAM FCNNs with time delays in the leakage terms and distributed delays
... bidirectional associative memory (BAM) neural network models were first introduced by Kosko ...recurrent neural networks that can store bipolar vector ...BAM neural network is ...
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Exploring optimal architecture of Multi layered Feed forward (MLFNN) as Bidirectional Associative Memory (BAM) for Function Approximation
... propagation neural network (CPN) has been ...such networks from back ...in networks with learning rates small enough to have some assurance of converging to a local minimum of the mean squared ...
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Global Exponential Stability of Periodic Oscillation for Nonautonomous BAM Neural Networks with Distributed Delay
... bidirectional associative memory BAM neural networks with periodic coe ffi cients and distributed delay, and find that the criterion relies on the Lipschitz constants of the signal transmission ...
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Chaotic Itinerancy in an Associative Memory Model
... Chaotic itinerancy is a concept used to refer to a dynamical behavior in which typical orbits visit a sequence of regions of the phase space called “quasi attractors” or “attractor ruins” in some irregular way. ...
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Memory Augmented Neural Networks for Machine Translation
... the Memory-Augmented Decoder extend the atten- tional encoder-decoder which has achieved state- of-the-art results on many language ...the Memory-Augmented Decoder results it appears as though extending the ...
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Transduction Recursive Auto Associative Memory: Learning Bilingual Compositional Distributed Vector Representations of Inversion Transduction Grammars
... recurrent neural network representation of a transduction grammar, TRAAM learns bilingual distributed representations that parallel the struc- tural composition of a transduction ...
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Age related changes in associative memory
... of associative memory and materials memorised by participants (modality, source, context, temporal order, spatial locations and item pairings across verbal and nonverbal material), the instructions given at ...
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An associative analysis of object memory
... All three procedures involve the placement of a rodent in one or more experimental contexts along with one or more objects; unlike matching- and non-matching-to-sample procedures for studying memory [39–41], food ...
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