A design algorithm of an associative memory neural network is proposed. The benefit of this design algorithm is to make the designed associative memory model can implement the hoped situation. On the one hand, the designed model has realized the nonlinear association of infinite value pattern from n dimension space to m dimension space. The result has improved the ones of some old associative memory neural network. On the other hand, the memory samples are in the centers of the fault-tolerant. In average significance the radius of the memory sample fault-tolerant field is maximum
An associative memory is a framework of content-addressable memory that stores a collection of messa...
Introduction The associative memory is one of the fundamental algorithms of information processing ...
The goal of this project was to investigate new approaches for designing associative neural memories...
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....
A time-varying controllable fault-tolerant field associative memory model and the realization algori...
Cellular neural networks (CNNs) have locally connected neurons. This characteristic makes CNNs adequ...
In this thesis, cognitive models of associative memory are developed. The cognitive view of memory i...
This paper proposes a novel neural network model for associative memory using dynamical systems. The...
International audienceArtificial neural networks are used in various domains like computer science a...
The reason for this is easy hardware implementation and successful applications in Associative Memor...
The possibility of achieving optimal associative memory by means of multi-layer neural networks is e...
This paper introduces the definition,principle,model and basic learning rules of feedback neural net...
A design methodology for associative memory(AM) using Fokker- Planck formalism is proposed. This met...
An associative memory is a framework of content-addressable memory that stores a collection of messa...
Introduction The associative memory is one of the fundamental algorithms of information processing ...
The goal of this project was to investigate new approaches for designing associative neural memories...
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....
A time-varying controllable fault-tolerant field associative memory model and the realization algori...
Cellular neural networks (CNNs) have locally connected neurons. This characteristic makes CNNs adequ...
In this thesis, cognitive models of associative memory are developed. The cognitive view of memory i...
This paper proposes a novel neural network model for associative memory using dynamical systems. The...
International audienceArtificial neural networks are used in various domains like computer science a...
The reason for this is easy hardware implementation and successful applications in Associative Memor...
The possibility of achieving optimal associative memory by means of multi-layer neural networks is e...
This paper introduces the definition,principle,model and basic learning rules of feedback neural net...
A design methodology for associative memory(AM) using Fokker- Planck formalism is proposed. This met...
An associative memory is a framework of content-addressable memory that stores a collection of messa...
Introduction The associative memory is one of the fundamental algorithms of information processing ...
The goal of this project was to investigate new approaches for designing associative neural memories...