نتایج جستجو برای: neural network rfnn

تعداد نتایج: 832184  

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...

Journal: :international journal of energy and environmental engineering 2011
roozbeh zomorodian mohsen rezasoltani mohammad bagher ghofrani

in this paper, the application of neural networks for simulation and optimization of the cogeneration systems has been presented. cgam problem, a benchmark in cogeneration systems, is chosen as a casestudy. thermodynamic model includes precise modeling of the whole plant. for simulation of the steadysate behavior, the static neural network is applied. then using dynamic neural network, plant is...

Journal: :علوم دامی 0
فاطمه سارانی دانش آموخته کارشناسی ارشد، دانشگاه زابل حمیدرضا میرزایی دانشیار ، دانشگاه زابل مصطفی یوسف الهی استادیار، دانشگاه زابل کاوه اکبرزاده مربی، دانشگاه امام رضا علیه السلام محمد صالحی دیندارلو دانش آموخته کارشناسی ارشد

to determine the amount of food amino acid and to spend time in the laboratories are expensive & time-consuming due to a chemical analysis. in the current laboratories, digestion nirs method is widely used for this purpose. but this method has technical limitation. therefor is important find appropriate method for estimate amount of amino acids. artificial neural network (ann) can provide a bet...

Journal: :iranian journal of fuzzy systems 2005
yong soo kim z. zenn bien

the proposed iafc neural networks have both stability and plasticity because theyuse a control structure similar to that of the art-1(adaptive resonance theory) neural network.the unsupervised iafc neural network is the unsupervised neural network which uses the fuzzyleaky learning rule. this fuzzy leaky learning rule controls the updating amounts by fuzzymembership values. the supervised iafc ...

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: :پژوهش های جغرافیای طبیعی 0
علی نصیری مجتبی یمانی

estimation of pure runoff is a house virtually is complex and different methods of calculation have been proposed. modern methods of solving problems in river engineering and water homes and assess the flow method is used, is that the artificial network pattern of human brain neural network training process, while implementation of the internal relationships between the data and discover for ot...

Handwriting recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. It has numerous applications that includes, reading aid for blind, bank cheques and conversion of any hand written document into structural text form. Neural Network (NN) with its inherent learning ability offers promising solutions for handwritten characte...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی امیرکبیر(پلی تکنیک تهران) - دانشکده مهندسی 1387

به کارگیری دینامیک های جاذب نقطه ای به عنوان حافظه های انجمنی به دهه ی هشتاد میلادی و معرفی شبکه ی هاپفیلد باز می گردد بازیابی حافظه در این سیستم ها با استفاده از شبکه های بازگشتی صورت می گیرد. در کنار این دینامیک های جاذب وجود فعالیت ماندگار در سلول های مغز به همراه ساختارهای بازگشتی در نواحی قشری مغز، ما را به سمت تکامل دینامیک های جدیدتری به نام شبکه های عصبی یا جاذب های پیوسته سوق می دهد. د...

Journal: :journal of rehabilitation in civil engineering 2014
ali kheyroddin hosein naderpour masoud ahmadi

this paper presents a new model for predicting the compressive strength of steel-confined concrete on circular concrete filled steel tube (ccfst) stub columns under axial loading condition based on artificial neural networks (anns) by using a large wide of experimental investigations. the input parameters were selected based on past studies such as outer diameter of column, compressive strength...

Journal: :iranian journal of radiation research 0
p. abdolmaleki department of biophysics, faculty of science, tarbiat modares university, tehran,iran h. abrishami-moghddam m. gity m. mokhtari-dizaji a. mostafa

abstract background: a computer aided diagnosis system was established using the wavelet transform and neural network to differentiate malignant from benign in a   group of patients with histo-pathologically proved breast lesions based on the data derived independ­ently from time-intensity profile.   materials and methods: the per­formance of the artificial neural network (ann) was evaluated us...

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