Languagespirit introduces interactive website for English on-line learning and on-line earning.
语言精灵推出在线英语教学互动平台。
Reinforcement learning based on Markov decision process is a way of on-line learning, which can be applied to single agent environment.
基于马尔科夫过程的强化学习作为一种在线学习方式，能够很好地应用于单智能体环境中。
First, a study of a sliding mode controller under on off training is made and then the on line learning algorithm using a gradient decent method is designed.
首先研究了离线训练的滑模控制器，然后，给出了利用梯度下降法的在线训练方法。
This learning method rests on the creative on-line studying environment concerning multi-media net resources, on-line learning community, and net technique platform.
这种学习方式建立在多媒体网络学习资源、网上学习社区及网络技术平台等构成的全新的网络学习环境基础上。
For learning document classification on line, the paper gives the semi-supervised learning fuzzy ART model (SLFART) based on adaptive resonance theory and the models algorithm.
为了对在线学习文档进行分类，本文根据自适应谐振理论给出了一个半监督学习模糊art模型(SLFART)及其算法。
The fourth part, through case, based on the experimental study of the on-line collaboration learning strategy, has analyzed the validity of the collaboration learning strategy.
第四部分，通过个案，在对网上协作学习策略进行了实验研究的基础上，分析了协作学习策略的有效性。
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。
In this paper, a multi-media network education system based on campus network and design of streaming media courseware and on-line learning courseware is discussed.
本文探讨了一种基于校园网的多媒体网络教学系统的设计和直播课堂与在线学习两种形式的多媒体网络课件的制作方法。
The DRNN controller was constructed based on the hysteretic characteristics of the GMA, and on-line learned the inverse hysteresis model of the GMA by the feedback-error learning scheme.
DRNN控制器是根据GMA的滞回特性构造的，通过反馈误差学习方案在线学习GMA的逆滞回模型。
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。
Controller is designed based on VHDL, the research keys are the implementation of the on-line learning algorithm of CMAC and the closed-loop simulation test of the controller.
基于VHDL设计该控制器，重点在于CMAC的在线学习算法实现和控制器模块的闭环仿真测试。
In This paper, an on-line learning controller based on CMAC with Gauss Basis Function Neural Network is presented, and its algorithm is discussed.
本文提出了基于高斯基函数CMAC在线学习的控制方案，并给出了相应的学习算法。
BP neural network control model based on the washing machine has been builded in this paper. A new off-line learning method of BP network has been suggested and realized on chip microcomputer.
论文以工业洗衣机为控制对象，建立了BP神经网络智能控制模型，提出了BP网络的一种离线式学习方法，并在微机中实现。
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。
It is divided into: on-line learning, submitted to the operation, the experimental course, answer the question, to resolve example, the test sample volumes, such as on-line to inform the block.
它分为：在线学习、作业提交、课程实验、问题答疑、例题解析、试题样卷、在线通知等块。
It is divided into: on-line learning, submitted to the operation, the experimental course, answer the question, to resolve example, the test sample volumes, such as on-line to inform the block.
它分为：在线学习、作业提交、课程实验、问题答疑、例题解析、试题样卷、在线通知等块。
应用推荐