The paper proposed an ensemble classifier (EC) that is combined by parallel single classifiers. The single classifiers can compensate for the others by combining in parallel. Then, the EC can improve classification accuracy. The paper proposed the use of Multi-layer Perceptron Networks (MLPN) to build EC. The study is tested on IEEE 39-bus power system network. |