نتایج جستجو برای: Radial Basis Neural network

تعداد نتایج: 1226126  

Journal: :international journal of environmental research 0

the application of neural networks to model a laboratory scale inverse fluidized bed reactor has been studied. a radial basis function neural network has been successfully employed for the modeling of the inverse fluidized bed reactor. in the proposed model, the trained neural network represents the kinetics of biological decomposition of organic matters in the reactor. the neural network has b...

Journal: :journal of tethys 0

estimation of reservoir water saturation (sw) is one of the main tasks in well logging. many empirical equations are available, which are, more or less, based on archie equation. the present study is an application of radial basis function neural network (rbfnn) modeling for estimation of water saturation responses in a carbonate reservoir. four conventional petrophysical logs (pls) including d...

Reservoir characterization and asset management require comprehensive information about formation fluids. In fact, it is not possible to find accurate solutions to many petroleum engineering problems without having accurate pressure-volume-temperature (PVT) data. Traditionally, fluid information has been obtained by capturing samples and then by measuring the PVT properties in a laboratory. In ...

Journal: :مهندسی برق و الکترونیک ایران 0
h. yaghobi h. rajabi mashhadi k. ansari

this paper presents the application of radial basis neural networks to the development of a novel method for the condition monitoring and fault diagnosis of synchronous generators. in the proposed scheme, flux linkage analysis is used to reach a decision. probabilistic neural network (pnn) and discrete wavelet transform (dwt) are used in design of fault diagnosis system. pnn as main part of thi...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شیراز 1378

در سالیان اخیر توجه زیادی روی موضوع تشخیص خطا در واحدهای مختلف شیمیائی بوسیله روشهای مختلف شده است . که یکی از این روشها شبکه های عصبی می باشد که شامل سه مرحله، آموزش ، بازخوانی و عمومیت بخشیدن می باشد. در این مقاله با استفاده از شبکه های عصبی مصنوعی (network artificial neural) از نوع (rbf)radial basis function و (bp) backpropagation خطاهای ایجاد شده در برج تقطیر تشخیص داده می شود. جهت آموزش اب...

Journal: :جغرافیا و توسعه ناحیه ای 0
کمال امیدوار معصومه نبوی زاده

precipitation is one of important parameters of climatology and atmospheric science that have more importance in human life. recently, extensive flood and drought entered many damage to most parts of the world. precipitation forecasting and alerts management role is responsible for these problems. today, artificial neural networks are one of developed method that applied for estimate and predic...

This article presents a Radial Basis Neural Network (RBNN) based islanding detection technique. Islanding detection and prevention is a mandatory requirement for grid-connected distributed generation (DG) systems. Several methods based on passive and active detection scheme have been proposed. While passive schemes have a large non detection zone (NDZ), concern has been raised on active method ...

Journal: :international journal of information science and management 0
k. salahshoor ph.d. , department of automation and instrumentation, petroleum university of technology, tehran m. r. jafari m.s. , department of automation and instrumentation, petroleum university of technology, tehran

this paper extends the sequential learning algorithm strategy of two different types of adaptive radial basis function-based (rbf) neural networks, i.e. growing and pruning radial basis function (gap-rbf) and minimal resource allocation network (mran) to cater for on-line identification of non-linear systems. the original sequential learning algorithm is based on the repetitive utilization of s...

2003
Natacha Gueorguieva Iren Valova

In this paper we propose a strategy to shape adaptive radial basis functions through potential functions. DYPOF (DYnamic POtential Functions) neural network (NN) is designed based on radial basis functions (RBF) NN with a two-stage training procedure. Static (fixed number of RBF) and dynamic (ability to add or delete one or more RBF) versions of our learning algorithm are introduced. We investi...

2007
EDWIRDE LUIZ SILVA

This paper proposes an artificial neural network RBF to classification using feature descriptors. The theoretical and practical aspects of theory F distributions with different degrees of freedom introduced. The distribution F densities are similar in shape, making it difficult to identify the differences between the two densities. This paper is concerned with separating these same probability ...

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