allocation and removing of excess water from the irrigation and drainage network is one of the most important activities in the management of these networks. side weir is one of the most common structures for this purpose. study on the flow hydraulic characteristics of this structure included two parts, defining the water surface profiles and estimating the discharge coefficient. to estimate th...

In this paper, we propose an artificial neural network (ANN) as a design technique for multilayer circular microstrip antennas based on Levenberg Marquardt training algorithm for modelling, simulation and optimization. Levenberg – Marquart (LM) algorithm has been used to train the MultiLayer Perceptron Neural Networks (MLPNNs). In the design procedure, the feed forward network is defined as a s...

In this paper, an Artificial Neural Networks (ANN) model has been developed to design the multilayer Rectangular microstrip patch. In the design procedure, synthesis ANN model is used as feed forward network to calculate the resonant frequency. Analysis ANN model is used as the reverse side of the problem to calculate the antenna dimension. The network is trained with the data obtained from mea...

background: predicting the methane percentage of biogas is necessary for selecting the optimized technologies of using landfill biogas for energy. the aim of this study was to predict of methane fraction in biogas from landfill bioreactors by artificial neural network (ann) modeling. methods: in this study, two different systems were applied to predict the methane fraction in landfill gas as a ...

in the present study, computational fluid dynamics (cfd) techniques and artificial neural networks (ann) are used to predict the pressure drop value (δp ) of al2o3-water nanofluid in flat tubes. δp  is predicted taking into account five input variables: tube flattening (h), inlet volumetric flow rate (qi  ), wall heat flux (qnw  ), nanoparticle volume fraction (φ) and nanoparticle diameter (dp ...

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...

The objective of this paper is to use Artificial Neural Network (ANN) in conjunction with M-ary PSK Trellis Coded Modulation (TCM) based Orthogonal Frequency Division Multiplexing (OFDM) as a means of achieving higher throughput and performance improvement in multipath fading channel. Simulation results are presented, that shows the superiority of the ANN-based approach, as a means to decode th...

kashan aquifer is adjacent to salt lake. because of this adjacency, the saline water of the lake has moved to the aquifer. in this study groundwater quality of the aquifer was simulated using artificial neural network (ann) model. for this purpose, the dominant ion of water was first determined by piper diagram. results showed that the sodium chloride is the dominant ion of water and so it was ...

recently, hardware sensors are widely used in monitoring and measurement of water quality parameters. constraint of the instrument to measure some water quality parameters such as the 5-day biochemical oxygen demand (bod5), which are time consuming, causes efforts are diverted to the use of software sensors for online prediction of bod5. the main goal of this research is developing an appropria...