对于相似模块的选择，论文建立了基于模糊相似优先比的模块选择算法模型，并给出了实际例子的演算过程，验证了算法的可靠性。
Furthermore, an algorithm of module selection which is based on fuzzy theory is brought forward in this dissertation, and the reliability is validated by an example.
最后采用同步设计技术和模块化设计的方法在FPGA上实现了滑模模糊控制算法。
At last, a The Sliding Mode Fuzzy control algorithm is implemented on FPGA, utilizing synchronous design technology and modular design method.
对每个控制模块设计了相应的模糊优化控制算法，并用改进的BP神经网络实现算法的模糊关系。
Fuzzy optimal control arithmetic was designed for each module, and an improved BP neural network was introduced to implement the fuzzy relation.
软件设计首先完成了PWM信号的输出与时序控制，并设计了键盘输入功能模块、LED显示功能模块、电流电压信号采样功能模块，以及模糊神经算法自学习软件功能模块。
The software design implemented PWM output and sequence control module, keyboard input module, LED display module, current and voltage sampling module and fuzzy neural algorithm self study module.
程序模块主要有：系统管理程序，人机界面交互接口程序，模糊算法程序，PID算法程序和串口通信程序等。
There are system administrative program, man-machine interface program, fuzzy algorithm program, PID algorithm program and communication program etc.
给出了此模型中模糊神经网络模块的训练算法。
Give outed this modeled the inside of the training calculate way of the piece of misty nerve network mold.
给出了此模型中模糊神经网络模块的训练算法。
Give outed this modeled the inside of the training calculate way of the piece of misty nerve network mold.
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