نتایج جستجو برای: principal component regression

تعداد نتایج: 998116  

Journal: :فیزیک زمین و فضا 0
مهدی صادقی دانشجوی کارشناسی ارشد ژئوفیزیک (لرزه شناسی)، دانشگاه صنعتی شاهرود، ایران امین روشندل کاهو استادیار، دانشکده معدن، نفت و ژئوفیزیک، دانشگاه صنعتی شاهرود، ایران حمیدرضا سیاه کوهی استاد، گروه فیزیک زمین، موسسه ژئوفیزیک دانشگاه تهران، ایران علیرضا حیدریان دانشجوی دکتری ژئوفیزیک، موسسه ژئوفیزیک، دانشگاه تهران، ایران

spectral decomposition of time series has a significant role in seismic data processing and interpretation. since the earth acts as a low-pass filter, it changes frequency content of passing seismic waves. conventional representing methods of signals in time domain and frequency domain cannot show time and frequency information simultaneously. time-frequency transforms upgraded spectral decompo...

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, ...

Journal: :iranian journal of public health 0
r noori dept. of environmental engineering, graduate faculty of environment, university of tehran, iran ma abdoli dept. of environmental engineering, graduate faculty of environment, university of tehran, iran m jalili ghazizade dept. of environmental engineering, graduate faculty of environment, university of tehran, iran r samieifard dept. of environmental engineering, graduate faculty of environment, university of tehran, iran

background: municipal solid waste (msw) is the natural result of human activities. msw generation modeling is of prime im­portance in designing and programming municipal solid waste management system. this study tests the short-term pre­diction of waste generation by artificial neural network (ann) and principal component-regression analysis. methods: two forecasting techniques are presented in...

Journal: :Information and Inference 2013

Journal: :Neural Computation 2020

Journal: :International Journal of Computer Vision 2012

2016
Mohammad Azmi Jeffrey P. Walker

Drought and water stress monitoring plays an important role in the management of water resources, especially during periods of extreme climate conditions. Here, a data fusion-based drought index (DFDI) has been developed and analyzed for three different locations of varying land use and climate regimes in Australia. The proposed index comprehensively considers all types of drought through a sel...

Journal: :journal of agricultural science and technology 0
n. sheikh taxonomy laboratory, department of botany, north eastern hill university, shillong-22, india. y. kumar taxonomy laboratory, department of botany, north eastern hill university, shillong-22, india.

the species of dioscorea (yam) are regarded as a staple food crop for millions of people in the tropical and subtropical regions of the world. it is regarded as an important food crop next to cereals and grains due to high yield storage of carbohydrates. economically, only few species are recognized for cultivation from agricultural point of view, in spite of its large species diversity. the sp...

Journal: :journal of agricultural science and technology 2013
o. caliskan s. bayazit

selecting within local pomegranate accessions is the main method used to identify new cultivars. total of 76 pomegranate accessions from hatay, turkey, were collected and their morpho-pomological and chemical characteristics were determined. the results showed that there was significant diversity among the accessions in terms of fruit quality parameters. several accessions were notable for thei...

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