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ASIPs for artificial neural networks

2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI), 2011
Customized application-specific processors called ASIPs are becoming commonplace in contemporary embedded system designs. Neural networks are an interesting application for which an ASIP can be tailored to increase performance, lower power consumption and/or increase throughput.
Daniel Shapiro   +4 more
openaire   +2 more sources

Explanation and artificial neural networks

International Journal of Man-Machine Studies, 1992
Abstract Explanation is an important function in symbolic artificial intelligence (AI). For instance, explanation is used in machine learning, in case-based reasoning and, most important, the explanation of the results of a reasoning process to a user must be a component of any inference system.
openaire   +1 more source

On training of artificial neural networks

International Joint Conference on Neural Networks, 1989
A theory and methodology are presented for training artificial neural networks in a general setting. Starting with defining general concepts, and analyzing associated properties of artificial neural networks, the authors formalize, categorize, and characterize artificial neural networks from a system point of view.
Behnam Malakooti, Jun Wang
openaire   +1 more source

Artificial Astrocyte Networks, as Components in Artificial Neural Networks

2014
Recent findings in neurophysiology provided evidence that not only neurons but also networks of glia-astrocytes are responsible for processing information in the human brain. Based on these new findings, information processing in the brain is defined as communication between neurons-neurons, neurons-astrocytes and astrocytes-astrocytes.
openaire   +2 more sources

Artificial neural network for steganography

Neural Computing and Applications, 2014
The digital information revolution has brought about changes in our society and our lives. The many advantages of digital information have also generated new challenges and new opportunities for innovation. The strength of the information hiding science is due to the nonexistence of standard algorithms to be used in hiding secret message.
Sabah Husien, Haitham Sabah Badi
openaire   +2 more sources

Artificial neural networks: a tutorial

Computer, 1996
Artificial neural nets (ANNs) are massively parallel systems with large numbers of interconnected simple processors. The article discusses the motivations behind the development of ANNs and describes the basic biological neuron and the artificial computational model.
Anil K. Jain 0001   +2 more
openaire   +1 more source

Artificial neural networks

Journal of Systems Architecture, 1998
Vincenzo Piuri, Cesare Alippi
openaire   +1 more source

Artificial Neural Networks: An Overview

Network: Computation in Neural Systems, 2008
Neural networks have been a much publicized topic of research in recent years and are now beginning to be used in a wide range of subject areas.
openaire   +2 more sources

Artificial neural networks

The Lancet, 1997
M, Buyse, P, Piedbois
openaire   +2 more sources

Artificial Neural Networks Based Optimization Techniques: A Review

Electronics (Switzerland), 2021
Mahidur R Sarker   +2 more
exaly  

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