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This paper describes a case study of a power factor correction technique based on the Artificial Neural Network (ANN). In order to accelerate the training process of ANNs, four learning algorithm, Incremental Back Propagation (IBP), Batch Back Propagation (BBP), Resilient Back Propagation (RBP), and Quick Back Propagation (QBP), were modeled and software that has a graphic user interface was developed...
Excitation current of a synchronous motor has a key role in reactive power compensation. For this purpose, the k-nearest neighbor (k-NN) classifier designed in this paper predicts the excitation current parameter using n-tupled inputs. Load current, power factor, power factor error and the change of excitation current parameters were utilized in n-tupled inputs. Moreover, Euclidean, Manhattan and...
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