نتایج جستجو برای: bayesian method
تعداد نتایج: 1692596 فیلتر نتایج به سال:
A Bayesian method is developed for estimating neural responses to stimuli, using likelihood functions incorporating the assumption that spike trains follow either pure Poisson statistics or Poisson statistics with a refractory period. The Bayesian and standard estimates of the mean and variance of responses are similar and asymptotically converge as the size of the data sample increases. Howeve...
برای اطمینان از درستی کارکرد فرآیند های صنعتی، نیاز به ابزارهایی است که وضعیت های نامطلوب عملکرد فرآیند را با دقت و سرعت بالا به راهبر فرآیند نشان دهد. کاربرد یک روش موثر برای تشخیص و شناسایی عیوب، به کاهش اثر این عیوب، تأمین ایمنی عملیات، کم کردن زمان مرده و کاهش هزینه های ساخت کمک می کند .در حال حاضر شبکه های bayesian belief، از جمله روش های مورد توجه جهت تعیین و تشخیص عیوب فرآیندها به شمار م...
A fundamental task in numerical computation is the solution of large linear systems. The conjugate gradient method is an iterative method which offers rapid convergence to the solution, particularly when an effective preconditioner is employed. However, for more challenging systems a substantial error can be present even after many iterations have been performed. The estimates obtained in this ...
Numerical Meshless Method in Conjunction with Bayesian Theorem for Electrical Tomography of Concrete
Electric potential measurement technique (tomography) was introduced as a nondestructive method to evaluate concrete properties and durability. In this study, numerical meshless method was developed to solve a differential equation which simulates electric potential distribution for concrete with inclusion in two dimensions. Therefore, concrete samples with iron block inclusion in different loc...
Historically, various methods were suggested for the estimation of Bernoulli and Binomial distributions parameter. One of the suggested methods is the Bayesian method, which is based on employing prior distribution. Their sound selection on parameter space play a crucial role in reducing posterior Bayesian estimator error. At times, large scale of the parametric changes on parameter space bring...
Medical ultrasound imaging due to close behavior of cancer tumors to body tissues has a low contrast. This problem with synthetic aperture imaging method has been addressed. Although the synthetic aperture imaging technique solved the low-contrast problem of ultrasound images, to an acceptable limit, but the performance of these methods is not even acceptable when the signal to noise ratio (SNR...
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