This paper surveys the application of classical optimization theory, artificial intelligent and neural network to FMS's control.
本文详细分析和研究了传统的优化理论、人工智能和神经网络在FMS优化控制中应用的适应性及各自的特点。
An intelligent method is proposed which ADAPTS a synthetical technology of fuzzy logic and neural network to identifying trend pattern in control chart.
提出了一种综合模糊技术与神经网络技术对基于控制图的趋势模式进行自动分类识别的智能方法。
An intelligent fault diagnosis approach for UAV command and control system is presented by combining neural network and expert system.
将神经网络与专家系统相结合，提出了一种应用于无人机指挥控制系统的智能故障诊断方法。
应用推荐