نتایج جستجو برای: nn implementation
تعداد نتایج: 372770 فیلتر نتایج به سال:
روشهای مختلف آماری، غیرآماری و جعبه سیاه در فرایندهای پیش بینی جریان رودخانه استفاده می شوند. از میان روشهای آماری، روش رگرسیون ناپارامتری k- نزدیک ترین همسایگی به واسطه پایه ریاضی و سادگی ذاتی، یکی از روشهای مناسب در فرایندهای پیش بینی است. در این تحقیق ضمن معرفی کامل روش k-nn به تشریح راهکارهای توسعه و بهبود این روش پرداخته می شود که از آن جمله می توان به معرفی روشهای تخمین بهترین همسایگی، تو...
This paper proposes an improved version of particle swarm optimization (PSO) algorithm for the training of a neural network (NN). An architecture for the NN trained by PSO (standard PSO, improved PSO) is also introduced. This architecture has a data preprocessing mechanism which consists of a normalization module and a data-shuffling module. Experimental results showed that the NN trained by im...
We use Neural Networks (NN) in order to design control architectures for autonomous mobile robots. With PVM, it is possible to spawn different parts of a NN on different workstations. Specific message passing functions using PVM may be included into the NN architecture. A graphical interface helps the user spawning the NN architecture, and monitors the messages exchanged between the different s...
We chronicle the research on the fusion technology of neural networks and fuzzy systems (NN+FS), the models that have been proposed from this research, and the commercial products and industrial systems that have adopted these models. First, we review the NN+FS research activity during the early stages in Japan, the US, and Europe. Next, following the classification of NN+FS models, we show the...
In this paper the efficient space virtualisation for Hoshen–Kopelman algorithm is presented. We observe minimal parallel overhead during computations, due to negligible communication costs. The proposed algorithm is applied for computation of random-site percolation thresholds for four dimensional simple cubic lattice with sites’ neighbourhoods containing next-next-nearest neighbours (3NN). The...
Meson-meson correlation effects are investigated in the NN → ρπ annihilation process using a realistic meson-exchange model for the ρπ interaction determined previously, together with a conventional baryon-exchange transition model and a consistent NN interaction. For NN S-states, they have a drastic effect and bring the relative (S0/ S1) branching ratio up to the experimental value, thus resol...
We note that in the limit where the NN S0 and S1 scattering lengths, a (S0) and a 3S1), go to infinity, the leading terms in the effective field theory for strong NN interactions are invariant under Wigner’s SU(4) spin-isospin symmetry. This explains why the leading effects of radiation pions on the S-wave NN scattering amplitudes vanish as a S0) and a S1) go to infinity. The implications of Wi...
A tail-sitter aircraft’s control is a challenging task, especially during transition maneuvers where the lift and drag forces are highly non-linear. In this work, we implement neural network (NN) capable to estimate such nonlinearities. Once they estimated, one can propose scheme these correctly feed-forwarded. Our NN implementation has been programmed in C++ within PX4 Autopilot, an open-sourc...
Since most of our industries use induction motors, it is essential to develop condition monitoring systems. Nowadays, have power quality issues such as sag, swell, harmonics, and transients. Thus, a system should the ability detect various faults, even in presence issues. Most fault diagnosis methods proposed earlier misidentified faults caused fail because misclassification due quality. The me...
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