Add to ORKGThe possibility of achieving optimal associative memory by means of multi-layer neural networks is explored. Three original different solutions which guaran-tee maximal basins of attraction and storage capacity are found, and their main characteristics are outlined
A design algorithm of an associative memory neural network is proposed. The benefit of this design a...
International audienceAssociative memories are structures that store data in such a way that it can ...
We propose a new associative memory to improve its noise tolerance and storage capacity. Our underly...
A new efficient learning algorithm of associative memory neural network is proposed, with the follow...
In this paper, an optimized training scheme of neural network for associative memory was proposed. I...
The human brain has a remarkable capability to recall information if a sufficient clue is presented....
Associative memories with recurrent connectivity can be built from networks of perceptrons and train...
Abstract: Associative memories with recurrent connectivity can be built from networks of perceptrons...
In this thesis, cognitive models of associative memory are developed. The cognitive view of memory i...
A class of high density associative memories is constructed, starting from a description of desired ...
We propose a genetic algorithm for mutually connected neural networks to obtain a higher capacity of...
The task of a neural associative memory is to retrieve a set of previously memorized patterns from t...
We apply evolutionary computations to Hopfield 's neural network model of associative memory. I...
Abstract—Associative memories store content in such a way that the content can be later retrieved by...
The paper analyses possibilities of episodic multi-winner multi-directional associative memory taugh...
A design algorithm of an associative memory neural network is proposed. The benefit of this design a...
International audienceAssociative memories are structures that store data in such a way that it can ...
We propose a new associative memory to improve its noise tolerance and storage capacity. Our underly...
A new efficient learning algorithm of associative memory neural network is proposed, with the follow...
In this paper, an optimized training scheme of neural network for associative memory was proposed. I...
The human brain has a remarkable capability to recall information if a sufficient clue is presented....
Associative memories with recurrent connectivity can be built from networks of perceptrons and train...
Abstract: Associative memories with recurrent connectivity can be built from networks of perceptrons...
In this thesis, cognitive models of associative memory are developed. The cognitive view of memory i...
A class of high density associative memories is constructed, starting from a description of desired ...
We propose a genetic algorithm for mutually connected neural networks to obtain a higher capacity of...
The task of a neural associative memory is to retrieve a set of previously memorized patterns from t...
We apply evolutionary computations to Hopfield 's neural network model of associative memory. I...
Abstract—Associative memories store content in such a way that the content can be later retrieved by...
The paper analyses possibilities of episodic multi-winner multi-directional associative memory taugh...
A design algorithm of an associative memory neural network is proposed. The benefit of this design a...
International audienceAssociative memories are structures that store data in such a way that it can ...
We propose a new associative memory to improve its noise tolerance and storage capacity. Our underly...