This paper proposes a method to build up a model of a Marine main engine based on BP neural network. A new method of selecting leaning rate is also stated using dynamic optimal algorithm.
该文研究用BP神经网络建立船舶主柴油机模型的方法，并对BP算法进行了改进，提出了一种动态优化学习率的方法。
The calculation results prove that the model for load optimal regulative characteristic of doubly fed hydrogenerator based on improved BP neural network algorithm is effective.
计算结果证明了基于改进BP神经网络算法建立的双馈水轮发电机负荷优化调节特性模型的有效性。
Improving BP neural network with simulated annealing algorithm can overcome the defect of falling into local optimal point easily, and further improve the network performance.
用模拟退火算法改进BP神经网络，克服了BP神经网络极易陷入局部最优点的缺点，进一步提高了网络的性能。
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