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In the process of the international early warning for securities systemic risk, the uniform design method (UDM) and boundary value method(BVM) are used to design the uniform, large-scale and representative samples to train the RBF neural network (RBFNN). The experiments show, the difference between the real output value of RBFNN early warning model and the expected early warning fussy evaluation value...
This paper adopt Uniform Design Method (UDM) to design uniformity, representative and large-scale samples to train the RBF neural network (RBFNN) which is applied to carry out the mobile network quality evaluation. The experiments show, the difference between the real output of RBFNN evaluation and the expected output of Experts Fussy Evaluation of mobile network quality evaluation is very small....
The commercial bank branches performance evaluation indicator system and it's detail normalization piecewise function are established in the paper. By using scientific Uniform Design method(UDM), the large number of representative uniformly distributed samples are designed for training RBFNN and solving the problem of RBFNN model's poor generalization ability. The experiments show the result of self-adaptive...
With competitive theories based on resources view, this article analyzes the route choice of information technology(IT) which enterprises can obtain long-term competitive advantages, demonstrates why the managing skills which incorporate the IT resources and supply chain management(SCM) can bring supply chain enterprises sustainable competitive advantages, through (DCC)Digital China Company's Supply...
Combining with the emotional intelligence theory, the Clustering Data Mining techniques was applied to individualized education research of Chongqing vocational Institute. through the emotional intelligence survey and its data collection, we dissected the characteristics of emotional intelligence data, analysed 804 samples of 5 Chongqing vocational Institute using K-means cluster analysis method....
At present, the study evaluation in e-learning based on neural network is very little in China. The reason lies in the difficulty to find high quality training samples for self-learning and the training lacks strict scientific experimental design.In this paper, we have selected representative, uniformity and large-scale samples with uniform design (UD). And then use those samples to train the self-adaptive...
Nowadays, the application of neural network technology in the evaluation of third party logistics (3PL) is very limited in China. The reason lies in the difficulty to find high quality training samples for neural network self-learning. This paper adopts uniform design method (UDM) to design representative, uniform and large-scale samples. And then use those samples to train the subtractive clustering...
Evaluation of customer-oriented service quality (ECSQ) is an important practical measure to increase enterprises' competition capacity. In this article, a performance evaluation indexes system is established. UDM and fussy-mathematics are used to generate enough samples to train self-adaptive RBFNN. The instances of applying RBFNN to do ECSQ shows that its generalization capacity is more powerful...
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