The paper introduces an on-line self-learning optimization algorithm , and its application on the catalytic cracking process.
本文介绍一种在线的自学习经验调优系统及其在催化裂化装置的应用。
Based on the thought of inverse system control, a method of on-line self-learning control strategy was proposed, which combines inverse control based on RBF neural network with PID control.
基于逆动力学控制的思想，提出一种RBF神经网络逆控制与PID控制相结合的在线自学习控制方案。
The method of establishing on-line temperature prediction model, set point model and parameter tracing self-learning model of computerized heat recovery processing control system is introduced.
介绍了余热处理计算机控制系统的在线温度预报模型、设定模型和参数跟踪自学习模型的建立方法。
The neuron controller with its self-learning ability can realize the on-line learning algorithm, and it is adopted as the position controller of the AC servo system.
利用神经元的自学习功能实现神经元控制器的在线学习，并以神经元控制器作为交流伺服系统的位置调节器；
The result of simulation shows that this neural network fuzzy controller features self-learning and self-adaptive capabilities, and the purpose of on-line control is accomplished.
仿真结果表明，所设计的神经网络模糊控制器具有自学习、自适应等优点，达到了在线控制的目的。
A new decision-making approach that rough set is applied to CBR is proposed to fulfill an on-line knowledge self-learning process.
因此将粗糙集应用于基于案例推理，提出基于粗糙案例推理的在线自我学习决策方法。
A new type of adaptive PID controller using diagonal recurrent neural network (DRNN) is presented. An on-line learning algorithm based on PID parameter self-tuning method is given.
提出了一种基于对角回归神经网络的PID控制器结构，给出了PID参数在线自整定的学习控制算法。
The results showed that there were significant differences in on-line self-regulated learning activities between two kinds of learning task requirements, as well as between two kinds of time pressure.
结果表明，在不同情境下，无论学习目标高低或时间压力大小，被试的选择题测验成绩均不存在显著差异；而作文成绩均存在显著差异；被试的临场自我调节学习活动存在显著差异；
A new statistical algorithm for on line maintenance of knowledgebase has been presented. It is of self learning and able to update the knowledgebase of real time expert system.
提出一种知识库在线维护的统计算法，用于过程的在线机器自动学习维护。
The object of this research is to set up the neural network expert system of judging the abnormal state in acquiring knowledge , so to make it have the ability of self-learning on-line.
本课题旨在建立神经网络高炉异常炉况判断专家系统，并解决传统专家系统在知识获取方面的“瓶颈”问题，使其具有在线学习能力。
An active noise self-tuning model predictive control approach is derived. An on-line learning algorithm is proposed for adjusting the uncertain model parameters.
将预测控制方法应用到有源噪声控制领域，给出了一种参数在线自适应算法，该算法的收敛速度不受次级声路径响应的影响。
An active noise self-tuning model predictive control approach is derived. An on-line learning algorithm is proposed for adjusting the uncertain model parameters.
将预测控制方法应用到有源噪声控制领域，给出了一种参数在线自适应算法，该算法的收敛速度不受次级声路径响应的影响。
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