نتایج جستجو برای: psr
تعداد نتایج: 3126 فیلتر نتایج به سال:
Aiming at the problems that existing single time series models are not accurate and robust enough when it comes to forecasting iron ore prices parameters of traditional LSSVM model difficult determine, we propose a combined based on Phase Space Reconstruction (PSR), wavelet transform (PSR-WA-LSSVM) tackle these issues. ARIMA model, LSTM PSR-LSSVM PSR-WA-LSSVM were used for contrast simulation f...
Shamik Dasgupta (Nous 50: 379–418, 2016) proposes to tame the Principle of Sufficient Reason (PSR) apply only non-autonomous facts, which are facts that apt for explanation. Call this strategy PSR taming strategy. In a recent paper, Della Rocca (PS 178: 1101–1119, 2020a; The parmenidean ascent, Oxford University Press, 2020b) argues proponents strategy, in attempting formulate restricted versio...
The PSR 1259{63 system is unique in that it is the rst radio pulsar found to be in a binary system with a massive main sequence companion. As such, it may be the evolutionary missing link connecting the radio pulsars to the X-ray emitting Be binaries. In this paper, we consider the conditions under which PSR 1259{63 may be the progenitor of the less eccentric, more slowly rotating X-ray Be bina...
The supernova remnant G0.9+0.1 has long been inferred to contain a central energetic pulsar. In observations with the NRAO Green Bank Telescope at 2 GHz, we have detected radio pulsations from PSR J1747–2809. The pulsar has a rotation period of 52 ms, and a spin-down luminosity of Ė = 4.3×1037 erg s−1, the second largest among known Galactic pulsars. With a dispersion measure of DM = 1133 pc cm...
We report on the likely detection of pulsed high-energy γ-rays from the binary millisecond pulsar PSR J0218+4232 in 100-1000 MeV data from CGRO EGRET. Imaging analysis demonstrates that the highly significant γ-ray source 2EG J0220+4228 (∼ 10σ) is for energies > 100 MeV positionally consistent with both PSR J0218+4232 and the BL Lac 3C66A. However, above 1 GeV 3C66A is the evident counterpart ,...
We introduce the rst algorithm for learning predictive state representations (PSRs), which are a way of representing the state of a controlled dynamical system. The state representation in a PSR is a vector of predictions of tests, where tests are sequences of actions and observations said to be true if and only if all the observations occur given that all the actions are taken. The problem of ...
Next generation of smart grids face a number of challenges including co-generation from intermittent renewable power sources, a shift away from monolithic control due to increased market deregulation, and robust operation in the face of disasters. Such heterogeneous nature and high operational readiness requirement of smart grids necessitates decentralized control for critical tasks such as pow...
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