نتایج جستجو برای: neural network algorithm

تعداد نتایج: 1460261  

Journal: :advances in environmental technology 0
jamshid behin department of chemical engineering, faculty of engineering, razi university, kermanshah, iran negin farhadian department of chemical engineering, faculty of engineering, razi university, kermanshah, iran

in this work, response surface methodology (rsm) and artificial neural network (ann) were used to predict the decolorization efficiency of reactive red 33 (rr 33) by o3/uv process in a bubble column reactor. the effects of four independent variables including time (20-60 min), superficial gas velocity (0.06-0.18 cm/s), initial concentration of dye (50-150 ppm) and ph (3-11) were investigated us...

Journal: :International Journal of Computer Applications 2010

Journal: :analytical and bioanalytical chemistry research 0
ghasem ghasemi department of chemistry, rasht branch, islamic azad university, rasht, iran alireza nemati rashtehroodi department of chemistry, payame noor university, sari branch, sari, iran

in this research,qsar study has been carried out on quinolizidinyl derivatives as potent inhibitors of acetyl and butyrylcholin esterase in alzheimer’s disease. despite significant research efforts in both industry and academia, there are currently no diseases modifying therapies available to treat this illness. significant evidence suggests that the pathology of ad is linked to generation of β...

Journal: :journal of computational applied mechanics 0
hosein mohammadi ms graduate, department of mechanical engineering, university of tehran, tehran, iran masoud sharififar department of metallurgy and material engineering, malek-ashtar university of technology, tehran, iran ali asghar ataee assistant professor, school of mechanical engineering, university of tehran, tehran, iran

the incremental sheet metal forming (ismf) process is a new and flexible method that is well suited for small batch production or prototyping. this paper studies the use of the finite element method in the incremental forming process of aa1050 sheets to investigate the influence of tool diameter, vertical step size, and friction coefficient on forming force, spring-back, and thickness distribut...

Journal: :research in pharmaceutical sciences 0

p2x 7 antagonist activity for a set of 49 molecules of the p2x 7 receptor antagonists, derivatives of purine, was modeled with the aid of chemometric and artificial intelligence techniques. the activity of these compounds was estimated by means of combination of principal component analysis (pca), as a well-known data reduction method, genetic algorithm (ga), as a variable selection technique, ...

ژورنال: فیزیک زمین و فضا 2018

Rainfall is one of the most important elements of water cycle used in evaluating climate conditions of each region. Long-term forecast of rainfall for arid and semi-arid regions is very important for managing and planning of water resources. To forecast appropriately, accurate data regarding humidity, temperature, pressure, wind speed etc. is required.This article is analytical and its database...

 Iran is one of the top five important countries in the world that have rich oil reserves. Exchange incomes produced by oil exports play an important role in country’s budget. Therefore, the studies and researches in fields that are related to oil economics have great privilage. Today, there is a plentiful interest in use of artificial intelligence methods especially neural networks for improvi...

Journal: :nanomedicine research journal 0
reza aghayari young researchers and elite club, shahrood branch, islamic azad university, shahrood, iran heydar maddah department of chemistry, sciences faculty, arak branch, islamic azad university, arak, iran ali reza faramarzi department of chemical engineering, islamic azad university, saveh branch, saveh, iran hamid mohammadiun department of mechanical engineering, shahrood branch, islamic azad university, shahrood, iran mohammad mohammadiun department of mechanical engineering, shahrood branch, islamic azad university, shahrood, iran

objective(s): this study aims to evaluate and predict the thermal conductivity of iron oxide nanofluid at different temperatures and volume fractions by artificial neural network (ann) and correlation using experimental data. methods: two-layer perceptron feedforward artificial neural network and backpropagation levenberg-marquardt (bp-lm) training algorithm are used to predict the thermal cond...

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