Predicting the performance measures of a message-passing multiprocessor architecture using artificial neural networks

2012 ◽  
Vol 23 (7-8) ◽  
pp. 2481-2491 ◽  
Author(s):  
Elrasheed Ismail Mohommoud Zayid ◽  
Mehmet Fatih Akay
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Performance Measures ◽  
Message Passing ◽  
Artificial Neural ◽  
Multiprocessor Architecture

scholarly journals Communicating artificial neural networks develop efficient color-naming systems

2021 ◽  
Vol 118 (12) ◽  
pp. e2016569118
Author(s):  
Rahma Chaabouni ◽  
Eugene Kharitonov ◽  
Emmanuel Dupoux ◽  
Marco Baroni
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Message Passing ◽  
Communication Systems ◽  
Color Naming ◽  
Low Complexity ◽  
Emergent Systems ◽  
Artificial Neural ◽  
Optimal Efficiency ◽  
The Cost

Words categorize the semantic fields they refer to in ways that maximize communication accuracy while minimizing complexity. Focusing on the well-studied color domain, we show that artificial neural networks trained with deep-learning techniques to play a discrimination game develop communication systems whose distribution on the accuracy/complexity plane closely matches that of human languages. The observed variation among emergent color-naming systems is explained by different degrees of discriminative need, of the sort that might also characterize different human communities. Like human languages, emergent systems show a preference for relatively low-complexity solutions, even at the cost of imperfect communication. We demonstrate next that the nature of the emergent systems crucially depends on communication being discrete (as is human word usage). When continuous message passing is allowed, emergent systems become more complex and eventually less efficient. Our study suggests that efficient semantic categorization is a general property of discrete communication systems, not limited to human language. It suggests moreover that it is exactly the discrete nature of such systems that, acting as a bottleneck, pushes them toward low complexity and optimal efficiency.

Determination of S-N curves with the application of artificial neural networks

1999 ◽  
Vol 22 (8) ◽  
pp. 723-728 ◽  
Author(s):  
Artymiak ◽  
Bukowski ◽  
Feliks ◽  
Narberhaus ◽  
Zenner
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Artificial Neural

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

2018 ◽  
pp. 6-11
Author(s):  
Kobiljon Kh. Zoidov ◽  
◽  
Svetlana V. Ponomareva ◽  
Daniel I. Serebryansky ◽  
◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Space Exploration ◽  
Artificial Neural
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