Add to ORKGThe focus of this work are asociative memories as one type of neural networks. We compare models of asociative memories with respect to recall of damaged spatial patterns. We deal with three types of asociative memories: Hopeld network know also as standard associative memory, hierarchical associative memory and cascade associative memory. Based on dened comparison criteria, we test the models on test data. Comparison and evaluation of the models based on test results concludes our work
In this paper we report experiments designed to find the relationship between the different paramete...
The human brain has a remarkable capability to recall information if a sufficient clue is presented....
An associative neural network (ASNN) is an ensemble-based method inspired by the function and struct...
The focus of this work are asociative memories as one type of neural networks. We compare models of ...
The progress in information technologies enables applications of artificial neural networks even in ...
Introduction The associative memory is one of the fundamental algorithms of information processing ...
A number of neural network models, in which fixed-point and limit-cycle attractors of the underlying...
A number of neural network models, in which fixed-point and limit-cycle attractors of the underlying...
The associative network presents a practical and efficient means for the storage and retrieval of da...
Current understanding of the eects of damage on neural networks is rudi-mentary, even though such un...
Attractor neural networks such as the Hopfield model can be used to model associative memory. An eff...
In this thesis, cognitive models of associative memory are developed. The cognitive view of memory i...
In this paper we report experiments designed to find the relationship between the different paramete...
Autoassociative networks were proposed in the 80's as simplified models of memory function in the br...
This paper proposes a general model for bidirectional associative memories that associate patterns b...
In this paper we report experiments designed to find the relationship between the different paramete...
The human brain has a remarkable capability to recall information if a sufficient clue is presented....
An associative neural network (ASNN) is an ensemble-based method inspired by the function and struct...
The focus of this work are asociative memories as one type of neural networks. We compare models of ...
The progress in information technologies enables applications of artificial neural networks even in ...
Introduction The associative memory is one of the fundamental algorithms of information processing ...
A number of neural network models, in which fixed-point and limit-cycle attractors of the underlying...
A number of neural network models, in which fixed-point and limit-cycle attractors of the underlying...
The associative network presents a practical and efficient means for the storage and retrieval of da...
Current understanding of the eects of damage on neural networks is rudi-mentary, even though such un...
Attractor neural networks such as the Hopfield model can be used to model associative memory. An eff...
In this thesis, cognitive models of associative memory are developed. The cognitive view of memory i...
In this paper we report experiments designed to find the relationship between the different paramete...
Autoassociative networks were proposed in the 80's as simplified models of memory function in the br...
This paper proposes a general model for bidirectional associative memories that associate patterns b...
In this paper we report experiments designed to find the relationship between the different paramete...
The human brain has a remarkable capability to recall information if a sufficient clue is presented....
An associative neural network (ASNN) is an ensemble-based method inspired by the function and struct...