scholarly journals Artificial neural networks: Current status in cardiovascular medicine

1996 ◽  
Vol 28 (2) ◽  
pp. 515-521 ◽  
Author(s):  
Dipti Itchhaporia ◽  
Peter B. Snow ◽  
Robert J. Almassy ◽  
William J. Oetgen
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Current Status ◽  
Cardiovascular Medicine ◽  
Artificial Neural

Scoping Review on Artificial Neural Networks in Neurorehabilitation Research: Current Status and Future Avenues

2019 ◽  
Vol 100 (10) ◽  
pp. e119
Author(s):  
Sanghee Moon ◽  
Pedram Ahmadnezhad ◽  
Hyun-je Song ◽  
Jeffrey Thompson ◽  
Kristof Kipp ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Scoping Review ◽  
Current Status ◽  
Artificial Neural

scholarly journals Using artificial neural networks for transport decisions: Managerial guidelines

2010 ◽  
Vol 21 (3) ◽  
pp. 18-32
Author(s):  
Robert L Cook ◽  
Lawrence O Jenicke ◽  
Brian Gibson
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Current Status ◽  
Transport Costs ◽  
Transportation Demand ◽  
Network Applications ◽  
Artificial Neural ◽  
Support Software ◽  
Neural Network Applications ◽  
Decision Environments

One information technology that may be considered by transportation managers, and which is included in the portfolio of technologies that encompass TMS. is artificial neural networks (ANNs). These artificially intelligent computer decision support software provide solutions by finding and recognizing complex patterns in data. ANNs have been used successfully by transportation managers to forecast transportation demand, estimate future transport costs, schedule vehicles and shipments, route vehicles and classify earners for selection. Artificial neural networks excel in transportation decision environments that are dynamic, complex and unstructured. This article introduces ANNs to transport managers by describing ANN technological capabilities, reporting the current status of transportation neural network applications, presenting ANN applications that offer significant potential for future development and offering managerial guidelines for ANN development.

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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