نتایج جستجو برای: نگاشتخودسازمان ده som

تعداد نتایج: 19908  

Journal: :دانش آب و خاک 0
معصومه مهدذی زاده داﻧﺸﺠﻮی ﺳﺎﺑﻖ ﮐﺎرﺷﻨﺎﺳﯽ ارﺷﺪ ﮔﺮوه ﻋﻠﻮم و ﻣﻬﻨﺪﺳﯽ ﺰ عادل ریحانی تبار ﮔﺮوه ﻋﻠﻮم و ﻣﻬﻨﺪﺳﯽ خاک دانشگاه تبریز شاهین اوستان ﮔﺮوه ﻋﻠﻮم و ﻣﻬﻨﺪﺳﯽ خاک دانشگاه تبریز

it seems that the presence of soil organic matter (som) increases p availability to plants. this effect has commonly been ascribed as competition between the decomposition products of som and p for soil sorption sites resulting in p concentrations increase of soil solution. this study was carried out to obtain information about soil organic matter (som) influence on kinetics and thermodynamics ...

Journal: :Investigative ophthalmology & visual science 2003
Andrew W Taylor David G Yee

PURPOSE To detect the presence of somatostatin (SOM) in normal aqueous humor and to characterize its immunosuppressive activity. METHODS Fresh rabbit aqueous humor was assayed for SOM by competitive ELISA. Primed T cells stimulated through their T-cell receptor (TCR) were treated with SOM at concentrations that ranged the level of SOM found in normal aqueous humor. The T cells were assayed fo...

The feature map represented by the set of weight vectors of the basic SOM (Self-Organizing Map) provides a good approximation to the input space from which the sample vectors come. But the timedecreasing learning rate and neighborhood function of the basic SOM algorithm reduce its capability to adapt weights for a varied environment. In dealing with non-stationary input distributions and changi...

2005
Tim W. Nattkemper

In this paper a new tool for visualizing self organizing maps (SOM) for interdisciplinary explorative data analysis is proposed, the SOM reef. By combination of the U-matrix visualization approach with the new introduced fish glyph, the SOM can be displayed as a underwater scenario. Data sets can be visualized in the SOM as swarms of fishes or prototypes. The SOM reef provides (i) a powerful me...

2001
Janne Bondi Johannessen

I dette foredraget vil vi presentere et prosjekt som nettopp har kommet i gang, og som har fått NOK 1 000 000 fra NorFA til et nordisk nettverk. Prosjektet har to siktemål som henger nøye sammen. Det ene er å bygge nettverk mellom fire forskningsog utviklingsmiljøer ved UiO (Tekstlaboratoriet), UiB (HIT-senteret), GU (Språkdata) og CST. Det andre er praktisk: å utvikle en automatisk navnegjenkj...

Journal: :American journal of physiology. Gastrointestinal and liver physiology 1998
Yana Zavros William R Fleming Kenneth J Hardy Arthur Shulkes

CCK and gastrin stimulate somatostatin (SOM) secretion and thus modulate their direct effects on the parietal cell. Although SOM is stored in D cells of the fundus and antrum, the nature of the cell type differs, and it is not known whether both regions respond to the stimulatory effects of CCK and gastrin. The objectives of the present study were to determine the separate effects of CCK and ga...

Journal: :Folia histochemica et cytobiologica 2011
Barbara Wasilewska Anna Robak Maciej Równiak Krystyna Bogus-Nowakowska Janusz Najdzion Witold Zakowski Mariusz Majewski

The present study provides a detailed description of somatostatin (SOM) distribution and the colocalization pattern of SOM, neuropeptide Y (NPY) and nitric oxide synthase (NOS) in the dorsal striatum (caudate-putamen complex) of the guinea pig. Within the dorsal striatum, SOM is found in a population of medium-sized aspiny interneurons. We found that 97% of all SOM-IR neurons expressed NPY simu...

2016
Zhun Wei Rui Chen Hongkai Zhao Xudong Chen

Two numerical methods are proposed to solve the electric impedance tomography (EIT) problem in a domain with arbitrary boundary shape. The first is the new fast Fourier transform subspace-based optimization method (NFFT-SOM). Instead of implementing optimization within the subspace spanned by smaller singular vectors in subspace-based optimization method (SOM), a space spanned by complete Fouri...

Journal: :Computation 2017
Xuhua Xia

A self-organizing map (SOM) is an artificial neural network algorithm that can learn from the training data consisting of objects expressed as vectors and perform non-hierarchical clustering to represent input vectors into discretized clusters, with vectors assigned to the same cluster sharing similar numeric or alphanumeric features. SOM has been used widely in transcriptomics to identify co-e...

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