This paper discusses about an algorithm of calculating the pulse switch Angle by using of forward network BP algorithm based on the Neural network, and makes the MATLAB simulation.
论述了用神经网络中的前向网络BP算法来计算脉冲开关角的一种计算方法，并进行了MATLAB仿真。
The simulation result is that the Fuzzy forward neural networks which is trained by this algorithm have good non-logic generalization and feature extraction ability, as well as fast learning speed.
模拟结果表明利用该算法训练的模糊层次神经网络具有较好的非逻辑归纳能力和特征抽取能力，并且学习速度也大大加快。
The synthetic control algorithm is put forward which has been proved by simulation and experiment, the results of theoretical analysis and experiment are coherent.
提出了无级变速传动的综合控制算法，进行了无级变速传动匹配控制仿真研究及台架试验，试验结果与理论分析结果具有良好的一致性。
This paper expands the algorithm and process of simulation, and then put forward new measures to accelerate it using cc simulation method and equivalence checker.
本文对仿真的算法和过程进行了阐述，以混合仿真和等价性验证为基础，提出了加快仿真和验证速度的措施。
Meanwhile, this paper puts forward the advantages and disadvantages of this Method compared with ordinary self-help algorithm and smooth moving data block Monte Carlo Simulation.
通过与一般自助法，平稳移动数据块算法的蒙特卡罗数值模拟，比较了这三种方法的优劣性。
Meanwhile, this paper puts forward the advantages and disadvantages of this Method compared with ordinary self-help algorithm and smooth moving data block Monte Carlo Simulation.
通过与一般自助法，平稳移动数据块算法的蒙特卡罗数值模拟，比较了这三种方法的优劣性。
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