基于多ANN模型的复杂系统长时段预报
Long-term Prediction for Complex System Based on Multiple ANN Models
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摘要: 提出一种多ANN结构的极值聚类训练算法,并将这种方法应用于复杂系统长时段预 报.采用这种方法,可以提高长时段预报精度、增强模型的可靠性.以这种模型为基础可以 进一步建立基于多ANN模型的复杂系统预测控制.Abstract: An extremum clustering approach for multiple artificial neural networks is developed in this paper. Then it is used for long-term prediction of complex dynamic system. With this method the long-term prediction precision and model robustness can be improved. This approach can be used for complex system predictive control using multiple ANNs.
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