Such fuzzy neural network controller is applied to the control of nickel hydrogen battery charging, have proved the validity of the algorithm.
将这种模糊神经网络控制器应用于镍氢电池的充电控制中，证明了算法的有效性。
The algorithm of the system is based on the selective equalization model formed from the discretization of continuous charging process.
系统的算法基于对连续充电过程进行离散化后得到的选择式均衡充电模型。
In view of the features of injection moulding machine, fuzzy control and monitoring system was devised and a fuzzy decoupling algorithm was adopted to control the temperature in the charging barrel.
针对注塑机的特点，设计了模糊控制与监测系统，并采用一种模糊解耦算法进行料筒温度控制。
The experimental results show that the algorithm decreases the average interactive times between charging trigger function and online charging system without improving rejection probability.
对比结果表明，该算法相对其他算法能够在不提高拒绝概率的情况下，减少了业务控制网元与计费系统间的平均交互次数。
The experimental results show that the algorithm decreases the average interactive times between charging trigger function and online charging system without improving rejection probability.
对比结果表明，该算法相对其他算法能够在不提高拒绝概率的情况下，减少了业务控制网元与计费系统间的平均交互次数。
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