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341
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342
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343
Computational intelligence: It’s application in digital watermarking
Published 2013“…Results of image watermarking using both ANN and no ANN were compared. It was found that ANN based watermarking outperformed the No ANN algorithm in terms of imperceptibility. …”
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Article -
344
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345
Artificial neural network application in sediment prediction: a review
Published 2020“…This chapter reviews several relevant works of literature on sediment transport prediction while focusing on a wide range of ANN applications. ANN sediment transport models have increasingly attracted several researchers over the past years. …”
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Book Section -
346
Multiple inputs artificial neural network model for the prediction of wastewater treatment plant performance
Published 2012“…Extensive influent and effluent parameters database containing measured data spanning over two years of period was used to develop and train ANN using ANN toolbox in commercially available software, MATLAB. …”
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Article -
347
Development of artificial neural network model for the analysis of wastewater treatment
Published 2012“…A statistical modeling tool called artificial neural network (ANN) is used in this work to predict the performance of wastewater treatment plant (WWTP). …”
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Monograph -
348
Oil palm empty fruit bunches as recyclable waste for production of citric acid: optimization using artificial neural network
Published 2010“…In this study, the same optimization was done by using ANN. The predictive and generalization ability of both ANN and RSM were compared using similar dataset of 20 experiments. …”
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Proceeding Paper -
349
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350
An intelligent modeling of coagulant dosing system for water treatment plants based on artificial neural network
Published 2012“…This high Correlation of coefficient indicates that the ANN model is a perfect match.…”
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Article -
351
Improvement of artificial neural network model for the prediction of wastewater treatment plant performance
Published 2011“…A statistical modeling tool called artificial neural network (ANN) is used in this work to predict the performance of wastewater treatment plant (WWTP). …”
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Proceeding Paper -
352
A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding
Published 2023“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
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Article -
353
A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding
Published 2023“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
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Article -
354
A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding
Published 2023“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
Get full text
Article -
355
A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding
Published 2023“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
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Article -
356
Analysis of municipal wastewater treatment plant performance using artificial neural network approach
Published 2011“…Artificial neural network (ANN) was used in this research as a statistical modeling tool for predicting the performance of wastewater treatment plant. …”
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Proceeding Paper -
357
Multistage artificial neural network in structural damage detection
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Thesis -
358
A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding
Published 2023“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
Get full text
Article -
359
Artificial neural network and its Islamic relevance
Published 2011“…The method used was analytical outlook to comprehend ANN in an Islamic approach.…”
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Article -
360
Evaluation of sustainable supply chain risk: evidence from the Iranian food industry
Published 2021“…The final weight of the main and sub-criteria was obtained using the F-BWM method via LINGO software. Risk management in the sustainable supply chain has the role of identifying, analyzing and providing solutions to control risks. …”
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Article