Construct a new reasoning algorithm so that it has the nature of the fuzzy reasoning has been the main theoretical issue.
构造新的推理算法使之具有上述性质一直是模糊推理的主要理论问题。
In this paper, fuzzy neural network was studied and fuzzy reasoning was realized by use of neural networks structure. BP algorithm is used to optimize local parameter.
本文研究了模糊神经网络，用神经网络结构进行模糊推理，用BP算法调节和优化具有局部性的参数。
A fuzzy logic reasoning method is used to forecast traffic diversion volume and a fuzzy control algorithm is also applied to design the intersection signal setting of the route.
在实现方法上，应用模糊推理技术对分流交通量进行了预测，并设计了路线交叉口信号灯配时方案调整的模糊控制算法，模拟结果验证了模糊逻辑推理技术的有效性。
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