The bifurcating neuron: building block for a new generation of artificial neural networks

2003 ◽  
Author(s):  
N.H. Farhat
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Building Block ◽  
Artificial Neural ◽  
New Generation

STRING MATCHING ARTIFICIAL NEURAL NETWORKS

2001 ◽  
Vol 11 (05) ◽  
pp. 445-453 ◽  
Author(s):  
TATIANA TAMBOURATZIS
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Computational Complexity ◽  
Building Block ◽  
String Matching ◽  
Matching Problems ◽  
Low Computational Complexity ◽  
Artificial Neural ◽  
Harmony Theory ◽  
Fast Match

Three artificial neural networks (ANNs) are proposed for solving a variety of on- and off-line string matching problems. The ANN structure employed as the building block of these ANNs is derived from the harmony theory (HT) ANN, whereby the resulting string matching ANNs are characterized by fast match-mismatch decisions, low computational complexity, and activation values of the ANN output nodes that can be used as indicators of substitution, insertion (addition) and deletion spelling errors.

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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