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In this paper, a double artificial neural network (ANN) algorithm has been established for calculating the octane number (ON) of gasoline from the results of multidimensional gas chromatography analysis. Multidimensional resolution column was applied to obtain the results of the detailed hydrocarbon analysis. The double ANN regression model has been established between the results of the detailed...
Particle swarm optimization (PSO) is an algorithm modelled on swarm intelligence that finds a solution to an optimization problem in a search space. In this paper, a PSO-based artificial neural network algorithm is proposed to automatically grading the learning results. Basically, the PSO algorithm is utilized to adjust the connection weights of the selected ANN topology. Taken mandarin learning as...
In order to remove the human factors improve efficiency and save the cost, National Mandarin Proficiency Test (NMPT) based on computer-aided is expected urgently. The feature parameter extraction is the most important part in the objective assessment of the Mardarin. In this paper we focus on the optimization of artificial neural network by PSO for Mandarin speech recognition. A framework of the Mandarin...
Nozzle plays very important role to control the gas flow during the interruption for SF6 circuit breaker (CB). Due to the higher non-linear global mapping relationship between interruption performance of SF6 CB and its nozzle structural parameters, artificial neural network (ANN) and genetic algorithm (GA) were applied to the nozzle parameter optimization of SF6 CB on the basis of the non-linear mapping...
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