[PDF] Top 20 Técnicas quirúrgicas conservadoras uterinas en el manejo de la hemorragia postparto
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MODELING OF ADSORPTION PROCESS IN WASTEWATER TREATMENT USING ARTIFICIAL NEURAL NETWORK
... Dendrites, as electric signal receiving areas, are composed of cell fybers with unsmooth surface and many splitted extensions. That is why they are called tree-like receiving networks. The dendrites transfer the ... See full document
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Artificial Neural Network Modeling for Adsorption of Dyes from Aqueous Solution using Rice Husk Carbon
... and adsorption have been widely used to treat dye bearing ...the adsorption has been found to be superior compared to other techniques for wastewater treatment in terms of its capability for ... See full document
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Artificial Neural Network Approach for Modeling of Mercury Adsorption from Aqueous Solution by Sargassum Bevanom Algae (RESEARCH NOTE)
... the adsorption of mercury ions by Sargassum bevanom ...the adsorption of mercury by ...endothermic. Artificial Neural Networks (ANN) was used to predict the adsorption efficiency for ... See full document
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Assessment of Spatial Multi-Criteria Decision-Making with Process of the Artificial Neural Networks Method to Site Selection of the Wastewater Treatment Plant (Case Study: Qeshm Island)
... build Wastewater Treatment due to existing circumstances in the ...a wastewater treatment is to define the possible proper ...to wastewater treatment, high level of underground ... See full document
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Biological hydrogen production from synthetic wastewater by an anaerobic migrating blanket reactor: Artificial neural network (ANN) modeling
... production process, the solution pH, alkalinity, and ORP are the important ...biological process lead to VFAs accumulation in the AMBR and a gradual reduction in BC (total alkalinity), which resulted in a ... See full document
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USING OF ARTIFICIAL NEURAL NETWORK FOR MODELING OF OILY WASTEWATER IN REVERSE OSMOSIS PROCESS
... Recently, there have been a number of researches conducted on data processing for problems for which there is no solution, or problems that are not easily solvable. The ANN pattern is inspired by the neural system ... See full document
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Artificial Neural Network Modeling of Job Satisfaction: A Case Study of ICT, Federal University of Agriculture, Makurdi
... Artificial neural network assessment and modeling of job satisfaction of the Information and Communications Technology (ICT) Directorate workers of Federal University of Agriculture, Makurdi ... See full document
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APPLICATION OF MULTILAYER PERCEPTRON BASED ARTIFICIAL NEURAL NETWORK FOR MODELING OF RAINFALL RUNOFF IN A HIMALAYAN WATERSHED
... underlying process in a mathematical ...runoff modeling and demonstrated the impact of the training data selection on the accuracy of runoff ...models using watershed-scale geomorphologic parameters ... See full document
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MRI brain tumor detection using artificial neural network
... propagation neural network classifier is used to detect candidate-circumscribed ...backpropagation neural network used to classify the MRI into normal and ... See full document
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Identification Of Weeds From Crops Using Convolutional Neural Network
... of network Architecture YannLeCun uses a new architecture which is good at object recognition in image dataset called the Convolutional Neural Network ...training neural network models ... See full document
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Analysis of Turning Process By Using Artificial Neural Network Technique
... workpiece, feed, atmosphere hve the largest impact on machine vibration which can be seen from ANN model. From comparision chart it is also seen that machine vibration at some starting experiment is very high because ... See full document
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Pattern recognition for manufacturing process variation using ensembled artificial neural network
... Many manufactures use Univariate Statistical Process Control (USPC) in both their manufacturing and service operations. Automated data collection, low-cost computation, products and processes designed to ... See full document
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Modeling of a Glass Tank Furnace Using Artificial Neural Network
... of experiments” in Ceramic International Journal. Abhik Banerjee is an M.Tech in Chemical Engineering from IIT Roorkee with specialisation in computer aided process plant design. He is B.Tech. (Chemical ... See full document
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Research on Classification of E-shopper Based on Neural Networks and Genetic Algorithm
... of modeling dynamic architecture for artificial neural networks and a new algorithm for extracting rules via neural network using genetic algorithm are presented in this ... See full document
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Artificial neural network for traffic noise modeling
... entire neural network tested, the single hidden layer neural network structure with 8-number of neurons gave minimum mean square error and good correlation coefficient between the target and ... See full document
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Predicting energy requirement for heating the building using artificial neural network
... This paper explores total heat load and total carbon emissions of a six storey building by using artificial neural network (ANN). Parameters used for the calculation were conduction losses, ... See full document
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Using Artificial Neural Network Modeling in Forecasting Revenue: Case Study in National Insurance Company/Iraq
... earnings using an “artificial neural network with an error backward propagation algorithm” and an “artificial neural network with a genetic algo- rithm”, 61 firms in 7 ... See full document
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Groundwater quality assessment using artificial neural network: A case study of Bahabad plain, Yazd, Iran
... the Network power. The third part of the neural network is the network training and ...of network training in an artificial neural network is the adjustment of ... See full document
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Modeling and Optimization of Energy Inputs and Greenhouse Gas Emissions for Eggplant Production Using Artificial Neural Network and Multi-Objective Genetic Algorithm
... modular neural network with two hidden layers that could predict energy consumption based on farm conditions (size of crop area), social factors (farmers’ education level), and energy inputs (N and P use, ... See full document
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Modeling of Relative Humidity Using Artificial Neural Network
... predictions using feedforward artificial neural network ...the neural networks. Based on results, the proposed neural network gives accurate prediction of hourly relative ... See full document
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