The Research of Transmission Network Planning Based on System’s Self-organized Criticality
نویسندگان
چکیده
منابع مشابه
Self-organized criticality in neural network models
Information processing by a network of dynamical elements is a delicate matter: Avalanches of activity can die out if the network is not connected enough or if the elements are not sensitive enough; on the other hand, activity avalanches can grow and spread over the entire network and override information processing as observed in epilepsy. Therefore, it has long been argued that neural network...
متن کاملCreutz ON SELF ORGANIZED CRITICALITY
"Self organized criticality" describes the tendency of strongly dissipative systems to show relaxation behavior involving a wide range of length and time scales .[1] The phenomenon is expected to be quite universal ; indeed, it has been looked for in such diverse areas as earthquake structure[2] and economics.[3] The idea provides an unifying concept for large scale behavior in systems with man...
متن کاملSelf-organized criticality in simulated correlated systems
In this paper we study the influence of spatio-temporal correlations on the dynamic runtime behavior of the optimistic parallel Time Warp simulation method. By means of Ising spin simulation, we show experimentally that the probability distribution of the number of rolled back events behaves as a power-law distribution over a large range of sub-critical Ising temperatures and decays exponential...
متن کاملSelf-Organized Criticality in Nonconserved Systems.
The origin of self-organized criticality in a model without conservation law (Olami, Feder, and Christensen, Phys. Rev. Lett. 68, 1244 (1992)) is studied. The homogeneous system with periodic boundary condition is found to be periodic and neutrally stable. A change to open boundaries results in the invasion of the interior by a “self-organized” region. The mechanism for the self-organization is...
متن کاملSelf-organized Criticality in Living Systems
We suggest that ensembles of self-replicating entities such as biological systems naturally evolve to a self-organized critical state in which fluctuations, as well as waiting times between phase transitions (“epochs”), are distributed according to a l/f” power law. Such distributions can explain observed frequency distributions in extinction events as well as fractal population structures, and...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Energy and Power Engineering
سال: 2013
ISSN: 1949-243X,1947-3818
DOI: 10.4236/epe.2013.54b173