نتایج جستجو برای: network density
تعداد نتایج: 1063177 فیلتر نتایج به سال:
Optimal Forest Road Density Based on Skidding and Road Construction Costs in Iranian Caspian Forests
Information on the productivity, costs and applications of the logging system is a key component in the evaluation of management plans for the rehabilitation and utilization of Caspian forests. Skidding and road construction costs are expensive forest operations. Determining the optimum forest road network density is one of the most important factors in sustainable forest management. Logging me...
optimal forest road density based on skidding and road construction costs in iranian caspian forests
information on the productivity, costs and applications of the logging system is a key component in the evaluation of management plans for the rehabilitation and utilization of caspian forests. skidding and road construction costs are expensive forest operations. determining the optimum forest road network density is one of the most important factors in sustainable forest management. logging me...
abstract: country’s fiber optic network, as one of the most important communication infrastructures, is of high importance; therefore, ensuring security of the network and its data is essential. no remarkable research has been done on assessing security of the country’s fiber optic network. besides, according to an official statistics released by ertebatat zirsakht company, unwanted disconnec...
Planning, construction and assessment of road network are among the investigations for infrastructure development at watershed scales. The main aim of this study is assessing the road network connectivity in the Chehel-Chay Watershed, located in Golestan Province using Alpha (α), Beta (β), Gamma (γ), Eta (η), network density and detour indices in graph theory. The available road network ma...
Using Artificial Neural Network for Estimation of Density and Viscosities of Biodiesel–Diesel Blends
In recent years, biodiesel has been considered as a good alternative of diesel fuels. Density and viscosity are two important properties of these fuels. In this study, density and kinematic viscosity of biodiesel-diesel blends were estimated by using artificial neural network (ANN). A three-layer feed forward neural network with Levenberg-Marquard (LM) algorithm was used for learning empirical ...
Using Artificial Neural Network for Estimation of Density and Viscosities of Biodiesel–Diesel Blends
In recent years, biodiesel has been considered as a good alternative of diesel fuels. Density and viscosity are two important properties of these fuels. In this study, density and kinematic viscosity of biodiesel-diesel blends were estimated by using artificial neural network (ANN). A three-layer feed forward neural network with Levenberg-Marquard (LM) algorithm was used for learning empirical ...
Background and aim: The aim of this study was to analyze and draw up a citation network of published schizophrenia-related resources in Iran from 2012 to 2016 so that this citation network provides a guidance for researchers and acquisition in information centers by specifying the status of resources and researchers in Iran. Material and methods: The current study was conducted through citation...
Risks assessment of forest project implementation in spatial density changes of forest under canopy vegetation using artificial neural network modeling approach Nowadays, environmental risk assessment has been defined as one of the effective in environmental planning and policy making. Considering the position and structure of vegetation on the forest floor, the main role of forest under ca...
using artificial neural network for estimation of density and viscosities of biodiesel–diesel blends
in recent years, biodiesel has been considered as a good alternative of diesel fuels. density and viscosity are two important properties of these fuels. in this study, density and kinematic viscosity of biodiesel-diesel blends were estimated by using artificial neural network (ann). a three-layer feed forward neural network with levenberg-marquard (lm) algorithm was used for learning empirical ...
background: the artificial neural networks (anns) are useful in solving nonlinear processes, without the need for mathematical models of the parameters. since the relationship between the ct numbers and material compositions is not linear, ann can be used for obtaining tissue density and composition. objective: the aim of this study is to utilize ann for determination of the composition and mas...
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