نتایج جستجو برای: k stage network

تعداد نتایج: 1358583  

2010
HIROTADA KOBAYASHI FRANCOIS LE GALL HARUMICHI NISHIMURA MARTIN RÖTTELER

The idea of network coding, proposed in the seminal paper by Ahlswede, Cai, Li and Yeung in 2000, opened up a new communication-efficient way of sending information through networks. The key idea is to allow coding and replication of information locally at any intermediate node of the network. For instance, this allows one to send two bits simultaneously between two source-target pairs over sev...

Asieh Khosravanian Asieh , Saeed Ayat,

Introduction: Since human health is the issue of Medical Research, correct prediction of results is of a high importance. This study applies probabilistic neural network (PNN) for predicting coronary artery disease (CAD), because the PNN is stronger than other methods. Methods: In this descriptive-analytic study, The PNN method was implemented on 150 patients admitted to the Mazandaran Heart...

Journal: :چغندرقند 0
محمدرضا میرزایی مربی پژوهشی مرکز تحقیقات کشاورزی و منابع طبیعی همدان سید معین الدین رضوانی مربی پژوهشی مرکز تحقیقات کشاورزی و منابع طبیعی همدان

in order to determine the effects of water deficit at different growth stages of sugar beet and optimal usage of water on quality and quantity characters of sugar beet, a factorial experiment based on randomized complete block design was conducted with 13 treatments and four replications in 2000 and 2001 in agricultural research center of hamadan. for the first factor, irrigation withheld in th...

Journal: :Computer systems science and engineering 2021

With the increasing number of airports and expansion their scale, aviation network has become complex hierarchical. In order to investigate characteristics networks, this paper constructs a Chinese model carries out related research based on theory K-means algorithm. Initially, P-space is employed construct model. Then, indicators such as degree, clustering coefficient, average path length, bet...

2015
R. Jovanović A. Sretenović

Feedforward neural network models are created for prediction of daily heating energy consumption of a NTNU university campus Gløshaugen using actual measured data for training and testing. Improvement of prediction accuracy is proposed by using neural network ensemble. Previously trained feed-forward neural networks are first separated into clusters, using k-means algorithm, and then the best n...

Dams control most of the sediment entering the reservoir by creating static environments. However, sediment leaving the dam depends on various factors such as dam management method, inlet sediment, water height in the reservoir, the shape of the reservoir, and discharge flow. In this research, the amount of suspended sediment of Doroodzan Dam based on a statistical period of 25 years has been i...

There is a lack of sufficient information on cotton responses to time and amount of foliar application of potassium (K) under salt stress environment, The objective of this study was to investigate the effects of potassium (as Solupotasse 50% K2O and 18% S) rate and application time on yield and yield components of cotton under saline field condition. A factorial experiment based on randomized ...

ژورنال: مرتع 2020
Bashiri, Mehdi, Maroosi, Ali,

Identification of climatic characteristics affecting the annual yield of Rheum Ribes can be useful in management and development of this species in the rangelands. In this research, the annual yield of this species in Khorasan-Razavi province based on 74 climatic parameters during a ten-year period evaluated and affecting climatic parameters extracted using data mining methods. First, the role ...

2004
Jhuma Sadhukhan Nan Zhang X. X. Zhu

A new method for optimising process networks is presented in this paper. The method uses economic analysis of existing systems based on the value analysis method derived by Sadhukhan (2002) as the basis to derive the optimum network design. Optimising a large scale industrial system (e.g. refineries, petrochemicals) where multiple processes, many material streams and a number of supporting syst...

In traditional DEA models, one faces the challenge of zero and unequal weights for evaluating each decision-making unit (DMU). On the other hand, for measuring the efficiency in these models, the system is considered as a black box, disregarding its internal processes. One of the strategies applied to deal with this problem is to use common weights of each input/output in all DMUs. In practice,...

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