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With the rapid development of network and communication technology in China, network marketing has begun to take its shape. In order to further improve the efficiency and quality of network marketing, it is necessary to take new technology and new method to promote the optimization of network marketing management while speeding up the development of network technology. Genetic algorithm, as an evolutional...
An accurate demand forecasting model has both academic and practical significance to supply chain management for China's retail industry. In this paper, we proposed a novel demand forecasting model named SHEnSVM (Selective and Heterogeneous Ensemble of Support Vector Machines), in which the individual SVMs are trained by different samples generated by bootstrap algorithm and different parameters generated...
A displacement model using the back propagation algorithm of artificial neural networks (BP-ANN) optimized with a genetic algorithm (GA) was presented on the example of an arch-type dam in China. The settlement displacement analysis for a single point located on the dam was performed. The analysis consists of three stages: principal component analysis (PCA), BP-ANN modelling, and deformation forecast...
The paper presents a genetic neural network model based on the features of genetic algorithm and artificial neural network. It was applied to predict passenger capacity of China. The forecast result shows that genetic neural network model has a smaller margin of error than BP neural network model. Genetic neural network is rather effective than BP neural network. Using genetic neural network to predict...
The BP neural network algorithm has characteristics of slow convergence speed and local minimum value which could cause the loss of global optimal solution. In order to eliminate the shortcoming of BP neutral network algorithm, genetic algorithm is been put forward to optimize authority value and threshold value of BP nerve network. This paper establishes genetic neural network model. Study has been...
With the development of electricity market reformation in China, it is especially important to evaluate the competition competence of power generating enterprises. Based on the characteristics of their, this paper bring forwards an index system to evaluate the competition competence of power generating enterprises. SVMs are widely used in load forecasting and bioinformatics systems. Conventional methods...
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