使用减法聚类和自适应模糊神经网络方法设计了一种水下机器人运动规划器。
By using the methods of subtraction clustering and adaptive fuzzy neural network, a sort of motion planner for the underwater vehicle was designed.
提出了一种通过调整减法聚类半径优选模糊规则的软测量建模方法。
A soft sensor modeling method is presented which selects optimal fuzzy rules by tuning the radius of a subtractive cluster center.
采用减法聚类辅助模糊推理系统进行电力系统短期负荷预测。
The application of Subtractive Clustering Fuzzy Inference System model to forecast short-term load is presented.
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