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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...
Krill Herd is a new optimization technique that was inspired by the herding behavior of real small crustaceans called Krills. The method was developed for continuous optimization problems and has recently been successfully applied to different complex problems. Feedforward neural network has a number of characteristics which make it suitable for solving complex classification problems. The training...
The scientific and accurate forecast of air traffic flow is not only an effective protection to maintain the air traffic flow continued and unimpeded, and also is an important basis for the air traffic flow management(ATFM) to make decisions and development strategies. Based on the character of flow prediction, the prediction method of genetic algorithm to optimize wavelet neural network is proposed...
A new method based on neural network and genetic algorithm to optimizate the Multiphase Rotodynamic pump is given. Using cubic B-spline surface to parametric the blade profile. Based on the ability of highly nonlinear fitting of BP neural network, the nonlinear relation between the blade parameter and the pump performance parameters is build. Let the trained neural network as a fitness function of...
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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