Placement and routing for 3D-FPGAs using reinforcement learning and support vector machines

Author(s):  
R. Manimegalai ◽  
E. Siva Soumya ◽  
V. Muralidharan ◽  
B. Ravindran ◽  
V. Kamakoti ◽  
...  
2011 ◽  
Vol 403-408 ◽  
pp. 4098-4102
Author(s):  
Jing Rong Dong ◽  
Yu Ke Chen

Research and development (R&D) project termination decision is an important and challenging task for organizations with R&D project management .Current research on R&D project management mainly focuses on project selection decisions. Very little research has been done on the termination decision of R&D projects .In this paper a support vector machines classifer for assisting managers in deciding whether to abandon an ongoing R&D project at various stages of R&D is presented. It has also shown by the modeling and pattern recognizing results in terms of termination decisions of fifty R&D projects that the method possesses reinforcement learning properties and universalized capabilities. With respect to modeling and termination decision of R&D project, which has the fact that the evaluation criteria are hardly ever determined by conventional approaches such as statistical analysis, the method is available.


2018 ◽  
Author(s):  
Nelson Marcelo Romero Aquino ◽  
Matheus Gutoski ◽  
Leandro Takeshi Hattori ◽  
Heitor Silvério Lopes

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