Add to ORKGObjective Neural networks are being used for solving problems in various diverse areas including education, research, business, management, and many more. In this article, models describing the dynamics of bidirectional associative memory (BAM) neural networks are considered. Methods: MATLAB, the numerical computing environment and programming language is used for solving certain problems associated with BAM. Results: The concept of BAM networks is improved so that it can be applied to a wider class of networks. Algorithm for solving BAM problems is studied. And also the MATLAB program codes to find the weight matrix, to test the net with input, and to generate activation functions are accompanied. Conclusion: MATLAB programming can be effe...
AbstractProtein Processor Associative Memory (PPAM) is a novel architecture for learning association...
In this paper, an optimized training scheme of neural network for associative memory was proposed. I...
Abstract—We consider the problem of neural association, which deals with the retrieval of a previous...
Associative memory is a data collectively stored in the form of a memory or weight matrix, which is ...
Brain-inspired, artificial neural network approach offers the ability to develop attractors for each...
Learning in bidirectional associative memory (BAM) is typically Hebbian-based. Since Kosko's 1988 ['...
Abstract—Typical bidirectional associative memories (BAM) use an offline, one-shot learning rule, ha...
Learning in Bidirectional Associative Memory (BAM) is typically based on Hebbian-type learning. Sinc...
The performance of an associate memory network depends significantly on the representation of the da...
First, a brief overview of neural networks and their applications are described, including the BAM (...
We investigate by statistical mechanical methods a stochastic analogue of the bidirectional associat...
Introduction The associative memory is one of the fundamental algorithms of information processing ...
The reason for this is easy hardware implementation and successful applications in Associative Memor...
Abstract—We consider the problem of neural association, which deals with the retrieval of a previous...
In this thesis, cognitive models of associative memory are developed. The cognitive view of memory i...
AbstractProtein Processor Associative Memory (PPAM) is a novel architecture for learning association...
In this paper, an optimized training scheme of neural network for associative memory was proposed. I...
Abstract—We consider the problem of neural association, which deals with the retrieval of a previous...
Associative memory is a data collectively stored in the form of a memory or weight matrix, which is ...
Brain-inspired, artificial neural network approach offers the ability to develop attractors for each...
Learning in bidirectional associative memory (BAM) is typically Hebbian-based. Since Kosko's 1988 ['...
Abstract—Typical bidirectional associative memories (BAM) use an offline, one-shot learning rule, ha...
Learning in Bidirectional Associative Memory (BAM) is typically based on Hebbian-type learning. Sinc...
The performance of an associate memory network depends significantly on the representation of the da...
First, a brief overview of neural networks and their applications are described, including the BAM (...
We investigate by statistical mechanical methods a stochastic analogue of the bidirectional associat...
Introduction The associative memory is one of the fundamental algorithms of information processing ...
The reason for this is easy hardware implementation and successful applications in Associative Memor...
Abstract—We consider the problem of neural association, which deals with the retrieval of a previous...
In this thesis, cognitive models of associative memory are developed. The cognitive view of memory i...
AbstractProtein Processor Associative Memory (PPAM) is a novel architecture for learning association...
In this paper, an optimized training scheme of neural network for associative memory was proposed. I...
Abstract—We consider the problem of neural association, which deals with the retrieval of a previous...