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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...
A classification of remote sensing data by using several classifiers and neural networks is presented in this paper. The application was conducted using a scene about agricultural areas, and it contains several agricultural classes. Several classification methods were compared and tested over a multispectral scene containing agricultural classes using a data base, and the Hybrid Learning Vector Quantization...
In this paper, a framework for the automatic pronunciation scoring is presented. The system included three modules which are pronunciation parameter database , evaluation model based on artificial neural network and automatic scoring module .The Mandarin proficiency test to be completed by computer-aided evaluation, not only can remove the human factor to establish uniform standards, but also save...
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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