نتایج جستجو برای: chai watershed was predicted using artificial neural network ann and improved wavelet

تعداد نتایج: 17532714  

Journal: :مدیریت صنعتی 0
محمدرضا نیک بخت دانشگاه تهران مریم شریفی دانشگاه تهران

the main purpose of this paper is prediction of tse corporate financial bankruptcy using artificial neural networks. the mean values of key ratios reported in past bankruptcy studies were selected for neural network inputs (working capital to total assets, net income to total assets, total debt to total assets, current assets to current liabilities, quick assets to current liabilities). the neu...

Slewing bearing, which is widely applied in tank, excavator and wind turbine, is a critical component of rotational machine. Standard procedure for bearing life calculation and condition assessment was established in general rolling bearings, nevertheless, relatively less literatures, in regard to the health condition assessment of slewing bearing, were published in past. Real time health condi...

Introduction: Electrocardiogram (ECG) is a method to measure the electrical activity of the heart which is performed by placing electrodes on the surface of the body. Physicians use observation tools to detect and diagnose heart diseases, the same is performed on ECG signals by cardiologists. In particular, heart diseases are recognized by examining the graphic representation of heart signals w...

Introduction: Treatment planning is the most important part of treatment. One of the important entries into treatment planning systems is the beam dose distribution data which maybe typically measured or calculated in a long time. This study aimed at shortening the time of dose calculations using artificial neural network (ANN) and finding the best method of training t...

Journal: :nutrition and food sciences research 0
hajar abbasi islamic azad university, esfahan branch (khorasgan), arghavanieh, jey st., esfahan, iran. post code: 81551-39998, p.o.box: 81595-158 seyyed mahdi seyedain ardabili department of food science and technology, faculty of agriculture and natural resources, science and research branch, islamic azad university, tehran, iran mohammad amin mohammadifar department of food science and technology, faculty of nutrition sciences, food science and technology / national nutrition and food technology research institute, shahid beheshti university of medical sciences, po box 19395-47471, tehran, iran zahra emam-djomeh transfer phenomena laboratory, department of food science, technology and engineering, faculty of agricultural engineering and technology, agricultural campus of the university of tehran, po box 4111, 31587-11167 karadj, iran

background and objectives: rheological characteristics of dough are important for achieving useful information about raw-material quality, dough behavior during mechanical handling, and textural characteristics of products. our purpose in the present research is to apply soft computation tools for predicting the rheological properties of dough out of simple measurable factors. materials and met...

Introduction: Electrocardiogram (ECG) is a method to measure the electrical activity of the heart which is performed by placing electrodes on the surface of the body. Physicians use observation tools to detect and diagnose heart diseases, the same is performed on ECG signals by cardiologists. In particular, heart diseases are recognized by examining the graphic representation of heart signals w...

Journal: :iranian chemical communication 2014
hadi noorizadeh sharmin esmaeilpoor zohreh moghadam shahnaz nosratolahy

the veterinary drugs residues are also important pollutants found in milk, since veterinary drugs are commonly used in cattle management. considering the role of milk in human nutrition and its wide consumption throughout the world, it is very important to ensure the milk quality. a quantitative structure–retention relationship (qsrr) was developed using the partial least square (pls), kernel p...

Journal: :iranian journal of chemistry and chemical engineering (ijcce) 2007
samad ahadian siamak moradian farhad sharif mohammad amani tehran mohsen mohseni

an artificial neural network (ann) was used to analyse the capillary rise in porous media. wetting experiments were performed with fifteen liquids and fifteen different powders. the liquids covered a wide range  of  surface  tension ( 15.45-71.99  mj/m2 )  and  viscosity (0.25-21 mpa.s). the powders also provided an acceptable range of particle size (0.012-45 μm) and surface free energy (25.54-...

ژورنال: علوم آب و خاک 2014
رضوی زاده, سمانه , وفاخواه, مهدی , کاویان, عطااله ,

  Prediction of sediment load transported by rivers is a crucial step in the management of rivers, reservoirs and hydraulic projects. In the present study, in order to predict the suspended sediment of Taleghan river by using artificial neural network, and recognize the best ANN with the highest accuracy, 500 daily data series of flow discharge on the present day, flow discharge on the past day...

Journal: :تحقیقات آب و خاک ایران 0
ایمان جوادزرین کارشناس ارشد، گروه مهندسی علوم خاک، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران. بابک متشرع زاده دانشیار گروه مهندسی علوم خاک، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران

the aim followed in this study was to compare the performance of multiple regression vs neural network models to predict the activity of antioxidant enzymes super oxide dismutase (sod), cat alase (cat), ascorbate pero xidase (apx) and peroxidase (pox) in the shoots of wheat (triticum aestivum), alvand cultivar in a soil polluted with cadmium. the treatments consisted of four levels of cadmium (...

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