An Automated Data-Driven Tool to Build Artificial Neural Networks for Predictive Decision-Making

2018 ◽  
Vol 11 (1) ◽  
pp. 1
Author(s):  
Chun Kit Ngan
Keyword(s):  
Neural Networks ◽  
Decision Making ◽  
Artificial Neural Networks ◽  
Data Driven ◽  
Artificial Neural

Artificial Neural Networks for Decision-Making in Urologic Oncology

2003 ◽  
Vol 43 (6) ◽  
pp. 596-603 ◽  
Author(s):  
Theodore Anagnostou ◽  
Mesut Remzi ◽  
Michael Lykourinas ◽  
Bob Djavan
Keyword(s):  
Neural Networks ◽  
Decision Making ◽  
Artificial Neural Networks ◽  
Urologic Oncology ◽  
Artificial Neural

MODULAR NEURAL NETWORKS: A SURVEY

1999 ◽  
Vol 09 (02) ◽  
pp. 129-151 ◽  
Author(s):  
GASSER AUDA ◽  
MOHAMED KAMEL
Keyword(s):  
Neural Networks ◽  
Decision Making ◽  
Artificial Neural Networks ◽  
Decomposition Techniques ◽  
Task Decomposition ◽  
Modular Neural Networks ◽  
Advantages And Disadvantages ◽  
Artificial Neural ◽  
Learning Schemes

Modular Neural Networks (MNNs) is a rapidly growing field in artificial Neural Networks (NNs) research. This paper surveys the different motivations for creating MNNs: biological, psychological, hardware, and computational. Then, the general stages of MNN design are outlined and surveyed as well, viz., task decomposition techniques, learning schemes and multi-module decision-making strategies. Advantages and disadvantages of the surveyed methods are pointed out, and an assessment with respect to practical potential is provided. Finally, some general recommendations for future designs are presented.

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