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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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223
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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224
Ecology of mammals and implication on park management
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225
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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226
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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227
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 -
228
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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229
Multistage artificial neural network in structural damage detection
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230
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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231
Comments on “Probiotic Bifidobacterium strains and galactooligosaccharides improve intestinal barrier function in obese adults but show no synergism when used together as synbiotic...
Published 2023“…Department of Nutrition and Dietetics, College of Pharmacy, Al-Ain University, Al-Ain, United Arab Emirates, 2 Zoology Department, Faculty of Science, Physiology Division, Beni-Suef University, Beni-Suef, Egypt, 3 Department of Life Sciences, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, United Kingdom, 4 School of Sport and Exercise Sciences, Liver-Pool John Moores University, Liverpool, United Kingdom, 5 Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia (UTHM), Pagoh, Johor, Malaysia, 6 Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia…”
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Classification of water quality using artificial neural network
Published 2020“…The ANN produced highly accurate water quality classification. …”
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Predictive model and near infrared spectroscopy in predicting the diesel fuel properties
Published 2018“…NIR spectroscopy shows an enormous potential for quantitative analysis of complex samples by coupling with artificial neural networks (ANNs). Although a single layer ANN shows promising in the establishing better relationship between a component of interest and NIR spectrum, a different algorithm for updating weight that has been proved to improve the performance of the multilayer could further reveal the potential of single linear layer ANN in NIR spectroscopic analysis. …”
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236
Harmonic elimination by switching angle optimization technique for multilevel inverter
Published 2019“…The simulation results with using the PI controller and ANN controller to reduce THDs have been compared and discussed. …”
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237
An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
Published 2014“…Learning an Artificial Neural Network (ANN) is an optimization task since it is desirable to find optimal weight sets of an ANN in the training process. …”
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Prediction of sedimentation and bank erosion due to the construction of Kahang Dam
Published 2020“…This research used the Artificial Neural Network (ANN) and ANN with Autoregressive (AR) (NNETAR) in predicting suspended sediment concentration using sediment concentration, discharge and water level as inputs. …”
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240