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.
提出了一个基于模糊集理论的新的神经网络结构及其学习算法。
This paper presents a novel neural network architecture based on fuzzy set theory, FIBP.
基于模糊神经网络算法研究了非线性系统的噪声消除问题，设计了一类非线性自适应逆噪声消除控制器。
Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed.
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