نتایج جستجو برای: artificial neural network ann

تعداد نتایج: 1040345  

Journal: :journal of chemical and petroleum engineering 2014
aliakbar heydari fazel dolati mojtaba ahmadi yasser vasseghian

in this study, activated sludge process for wastewater treatment in a refinery was investigated. for such purpose, a laboratory scale rig was built. the effect of several parameters such as temperature, residence time, effect of leca (filling-in percentage of the reactor by leca) and uv radiation on cod removal efficiency were experimentally examined. maximum cod removal efficiency was obtained...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تبریز 1389

به منظور تخمین زمانی- مکانی مقدار بارش ماهیانه، با توجه به پیچیدگی پدیده و در دسترس نبودن اطلاعات فیزیکی کافی و عدم اطلاع دقیق از روابط و معادلات ریاضی حاکم بر مسئله، معمولاً به سراغ ارائ? مدلهای جعبه سیاه، که مستقل از پارامترهای فیزیکی موثر بر پدیده و معادلات حاکم بین آنها می باشد، باید رفت. در این پایان نامه مدلی ترکیبی و جعبه سیاه تحت عنوان ann-rbf به منظور تخمین زمانی- مکانی مقدار بارش ماهی...

Journal: :civil engineering infrastructures journal 0
kazem barkhordari assistant professor, department of civil engineering, yazd university, yazd, iran hosein entezari zarch m.sc. student, department of civil engineering, yazd university, yazd, iran.

this research intends to develop a method based on the artificial neural network (ann) to predict permanent earthquake-induced deformation of the earth dams and embankments. for this purpose, data sets of observations from 152 published case histories on the performance of the earth dams and embankments, during the past earthquakes, was used. in order to predict earthquake-induced deformation o...

Journal: Desert 2011
H. Afkhami M.T. Dastorani

In recent decades artificial neural networks (ANNs) have shown great ability in modeling and forecasting non-linear and non-stationary time series and in most of the cases especially in prediction of phenomena have showed very good performance. This paper presents the application of artificial neural networks to predict drought in Yazd meteorological station. In this research, different archite...

Journal: :iranian journal of oil & gas science and technology 2014
seyyed hossein hosseini bidgoli ghasem zargar mohammad ali riahi

the spatial distribution of petrophysical properties within the reservoirs is one of the most importantfactors in reservoir characterization. flow units are the continuous body over a specific reservoirvolume within which the geological and petrophysical properties are the same. accordingly, anaccurate prediction of flow units is a major task to achieve a reliable petrophysical description of a...

2008
Shafaatunnur Hasan

Recently, research area in neural network based spatial analysis have been receiving increasing attention in the last few years. There are number of reasons and the strongest appeal of Artificial Neural Network (ANN) is the suitability for machine learning in computational adaptivity. Machine learning in computational neural network consist of adjusting connection weights to improve the perform...

Journal: :international journal of advanced biological and biomedical research 2014
abazar solgi feridon radmanesh heidar zarei vahid nourani

awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. therefore, the present study two hybrid models, wavelet- adaptive neural fuzzy interference system (wanfis) and wavelet- artificial neural network (wann) are used for flow prediction of gamasyab river (nahavand, hamedan, iran...

Journal: :international journal of iron & steel society of iran 2009
f. forouzan a. najafizadeh a. kermanpur a. hedayati

an artificial neural network (ann) model is developed for the analysis, simulation, and prediction of the austenite reversion in the thermo-mechanical treatment of 304l austenitic stainless steel. the results of the ann model are in good agreement with the experimental data. the model is used to predict an appropriate annealing condition for austenite reversion through the martensite to austeni...

2015
Yu-Zhou Li Xia-Mei Tan

Automotive body styling appraisement is very important for body styling design. Because there is not tangible standard at the structure ascertaining of artificial neural network(ANN) and improvement of stability is needed for ANN inside black box characteristic, a bus-styling appraisement method using extension theory-based artificial neural network is presented. The key techniques of quasi-thr...

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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