نتایج جستجو برای: body weights and layer performances

تعداد نتایج: 16918540  

Journal: :American journal of epidemiology 2003
Yunsheng Ma Elizabeth R Bertone Edward J Stanek George W Reed James R Hebert Nancy L Cohen Philip A Merriam Ira S Ockene

Some studies have suggested that eating patterns, which describe eating frequency, the temporal distribution of eating events across the day, breakfast skipping, and the frequency of eating meals away from home, may be related to obesity. Data from the Seasonal Variation of Blood Cholesterol Study (1994-1998) were used to evaluate the relation between eating patterns and obesity. Three 24-hour ...

A. Melesse, M. Alewi Y. Teklegiorgis

This study was conducted at Beresa watershed district of Guraghe Administrative Zone, the southern Regional State of Ethiopia to evaluate the on-farm reproductive and egg production performances of local Kei and its F1 crosses with Fayoumi and Rhode Island Red (RIR) chicken breeds under farmers’ management. The local Kei paternal line was mated with maternal lines of Fayoumi and RIR chickens to...

A. Kamali, B. Shabanpour

This study was carried out in a completely randomized design 3×3×4 factorial arrangement in three periods of rearing in spring 1997. Density of 300 larvae was assigned for each oval tank with 0.1m2 surface area, 30cm deep, a volume of 20lit and 0.25 lit/min of water flow per minute at Shahid Rajaie fish breeding and culture center in Sari, north of Iran. The fries were divided into three groups...

1997
Eric P. Maillard Didier Gueriot

Radial Basis Funct ion ( R B F ) network i s a n e f i c i e n t func t ion approximator. Theoretical researches focus o n the capabilities of the network t o reach a n optimal solution. Unfortunately, f e w results concerning the design and training of the network are available. W h e n dealing with a specific application, the performances of the network dramatically depend o n the number of n...

2015
Luming Zhang Huaquan Sun Lai Xie Jinnan Lu Luyong Zhang Sujuan Wu Xingsen Gao Xubing Lu Jinhua Li Jun-Ming Liu

The nanostructured ZnO/copper oxide (Cu2O) photovoltaic devices based on electrospun ZnO nanofibrous network and electrodeposited Cu2O layer have been fabricated. The effects of the pH value of electrodeposition solution and the Cu2O layer thickness on the photovoltaic performances have been investigated. It is revealed that the pH value influences the morphology and structure of the Cu2O layer...

2007
David Hanak Gabor Szijarto Barnabas Takacs

This paper describes a mobile Ambient Assisted Living (AAL) solution designed to meet the requirements of modern health services in caring for, monitoring and motivating the elderly in their own environment. Our solution goes beyond the function of classical tele-monitoring by delivering integrated functionality that includes health management, mental monitoring, mood assessment as well as phys...

A. Kamali, B. Shabanpour,

This study was carried out in a completely randomized design 3×3×4 factorial arrangement in three periods of rearing in spring 1997. Density of 300 larvae was assigned for each oval tank with 0.1m2 surface area, 30cm deep, a volume of 20lit and 0.25 lit/min of water flow per minute at Shahid Rajaie fish breeding and culture center in Sari, north of Iran. The fries were divided into ...

Journal: :Neural networks : the official journal of the International Neural Network Society 2009
Cameron Johnson Ganesh K. Venayagamoorthy Pinaki Mitra

The application of a spiking neural network (SNN) and a multi-layer perceptron (MLP) for online identification of generator dynamics in a multimachine power system are compared in this paper. An integrate-and-fire model of an SNN which communicates information via the inter-spike interval is applied. The neural network identifiers are used to predict the speed and terminal voltage deviations on...

2011
John Yearwood Adil M. Bagirov S. Seifollahi

In this paper, we propose a hybrid learning algorithm for the single hidden layer feedforward neural networks (SLFNs) for data classification. The proposed hybrid algorithm is a two-phase learning algorithm and is based on the quasisecant and the simulated annealing methods. First, the weights between the hidden layer and the output layer nodes (output layer weights) are adjusted by the quasise...

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