最后通过模糊推理策略预测日最大负荷和日最小负荷。 实际算例表明，所提出的方法能够提高短期负荷预测的精度。
The results of practical calculation examples show that the accuracy of forecasted short-term load can be improved by the proposed method.
提出一种基于步态规划分级结构的自适应网络模糊推理系统控制策略，该方法不需要确定双足机器人运动学和动力学模型。
Proposed an adaptive network fuzzy inference system control strategy based on hierarchy structure of gait planning, which do not require detailed kinematics or dynamic biped models.
开发了一个基于模糊匹配推理策略的专家系统，可用于分离技术的选择和分离设备的排序。
An expert system which is based on the fuzzy match inference strategy is developed. It can be used for the selection of separation technologies and sequencing of separators.
应用推荐