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Supervised classification of fully polarimetric SAR image using neural network is a common method nowadays. As an effective learning method of neural network, BP algorithm is the most widespread one in the neural network algorithms. However, BP network is easy to fall into local extremum and exists shortcomings such as the slow training process. To this end, this paper presents a method of supervised...
In the process of evaluation logistics company performance by BP neural network, the more difficult problem is to determine the evaluating sample expectations, while the C2R DEA cross-evaluation model is able to identify the rank and grade of evaluating samples (the unit of making decision). In this paper, we set the cross-model evaluation results to the sample expectations, integrate BP neural network...
In order to select appropriate logistics suppliers, and by using of advantages of BP neural networks with self-organizing, self-learning, anti-interference, etc. a logistics supplier selection model was constructed, and an integrated logistics suppliers' capacity (performance) evaluation BP neural network was established, also, BP algorithm was designed. Then an example with twenty-three listed logistics...
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