2703 search results - page 361 / 541 » Learning operational requirements from goal models |
178
Voted
ANNS
2007
15 years 8 months ago
2007
The ability to store and retrieve information is critical in any type of neural network. In neural network, the memory particularly associative memory, can be defined as the one i...
193
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ICANN
2009
Springer
15 years 11 months ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
200
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RE
1999
Springer
15 years 11 months ago
1999
Springer
Requirements Engineering (RE) investigates the impact of a future-oriented change vision, but the move towards this vision must consider a context heavily shaped by the past. As R...
160
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ICSE
2000
IEEE-ACM
15 years 10 months ago
2000
IEEE-ACM
This paper describes an experiment to use the Spin model checking system to support automated verification of time partitioning in the Honeywell DEOS real-time scheduling kernel. ...
160
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WSC
2007
15 years 9 months ago
2007
Two discrete-event simulations are developed to assess the feasibility of improving the delivery process of reinforced concrete structures. The simulations represent the resource ...