In order to reduce the operation cost and optimize the unit commitment, the fast algorithm about unit commitment based on revised BP ANN (Artificial Neural Network) and dynamic search is discussed.
为了使机组达到最优组合，减少运行成本，研究了基于修正BP人工神经网络与动态搜索的快速算法在机组组合中的运用。
With the ANN toolbox of MATLAB6.5, a three-layer BP network model for earthquake economic loss estimation is built up. This model is applicable to fast estimation of post-quake economic loss.
应用MATLAB6.5神经网络工具箱，建立了适用于震后经济损失快速评估的三层BP神经网络地震灾害经济评估模型。
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