scholarly journals Recognition of Tifinaghe Characters Using Dynamic Programming & Neural Network

Author(s):  
Rachid El ◽  
Mohamed Fakir ◽  
Belaid Bouikhalene
2011 ◽  
Vol 42 (1) ◽  
pp. 50-67 ◽  
Author(s):  
A. H. El-Shafie ◽  
M. S. El-Manadely

Developing optimal release policies of multipurpose reservoirs is very complex, especially for reservoirs within a stochastic environment. Existing techniques are limited in their ability to represent risks associated with deciding a release policy. The risk aspect of the decisions affects the design and operation of reservoirs. A decision-making model is presented that is capable of replicating the manner in which risks associated with reservoir release decisions are perceived, interpreted and compared by a decision-maker. The model is based on Neural Network (NN) theory. This decision-making model can be used with a Stochastic Dynamic Programming (SDP) approach to produce a NN-SDP model. The resulting integrated model allows the attitudes towards risk of a decision-maker to be considered explicitly in defining the optimal release policy. Clear differences in the policies generated from the basic SDP and the NN-SDP models are observed when examining the operation of Aswan High Dam (AHD). The NN-SDP model yields policies that are more reliable and resilient and less vulnerable than those obtained using the SDP model.


Sensors ◽  
2018 ◽  
Vol 18 (2) ◽  
pp. 178 ◽  
Author(s):  
Shyam Adhikari ◽  
Changju Yang ◽  
Krzysztof Slot ◽  
Hyongsuk Kim

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