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This paper is an attempt to develop a new technology, which is an advancement of the previously published paper [1] for fault diagnosis of multilevel inverter adopting the machine learning and optimization techniques. The advanced machine-learning algorithm called the Optimized Radial Basis Neural Network (ORBNN) method is developed in which the Neural Network uses Radial Basis function as the activation...
Electrical load forecasting is one of the important parts for smart grid system. The reliable prediction of the load demand contributes to the efficient and economical operations and planning. The artificial neural network is used extensively in load demand forecasting. The nonlinear nature of the electrical load demand conforms to the ability of the artificial neural network in calculating the nonlinear...
This paper presents an optimization approach for photosensitive resin solidification process based on artificial neural network combined with orthogonal experiment and genetic algorithm. A predictive model for solidification is established using artificial neural network and the sample for neural network model is designed by using orthogonal experimental method. In the model, the solidification process...
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