نتایج جستجو برای: artificial stands
تعداد نتایج: 308478 فیلتر نتایج به سال:
Contention scheduling (Cooper & Shallice 2000) is a wellknown action selection mechanism in cognitive science. It can account for normal action sequencing of daily routine actions in humans as well as for various errors exhibited by impaired human subjects. In this paper, we examine the potential of contention scheduling as an action selection mechanism for artificial agents, in particular robo...
there are many approaches for solving variety combinatorial optimization problems (np-compelete) that devided to exact solutions and approximate solutions. exact methods can only be used for very small size instances due to their expontional search space. for real-world problems, we have to employ approximate methods such as evolutionary algorithms (eas) that find a near-optimal solution in a r...
Peter, David H.; Harrington, Constance A. 2010. Reconstructed old-growth forest stand structure and composition of two stands on the Olympic Peninsula, Washington state. Res. Pap. PNW-RP-583. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 22 p. We reconstructed the stand structure and composition for two western Washington old-growth forest sta...
The regularities of water regime, growth and longevity of artificial forest stands in dry conditions
چکیده ندارد.
Differential plant damage due to litterfall in palm-dominated forest stands in a Central Pacic atoll
High densities of palms are common in many tropical forests. In some cases, the dominance of palms has been associated with a depauperate understorey and high rates of native seedling mortality. A variety of different potential mechanisms has been suggested to explain the sustained palm dominance in the understorey and canopy of these forests. Working in a Cocos nucifera-dominated wet tropical ...
The authors are presenting a thorough introduction in Artificial Neural Networks (ANNs) and their contribution to modern Urologic Oncology. The article covers a description of Artificial Neural Network methodology and points out the differences of Artificial Intelligence to traditional statistic models in terms of serving patients and clinicians, in a different way than current statistical anal...
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