提出了物流联盟是物流企业学习的有效途径，并给出了学习的数学模型，对信念更新规则、决策规则进行了分析。
Logistics Alliance is a effective way to study for the logistics enterprises, and has produces the study mathematical model, then analyses how to update the rules for conviction and decision-making.
这种方法不完全依赖于非线性对象的数学模型，因而为非线性系统的学习控制提供了一种有效的研究方法。
This novel learning control mechanism, which does not depend upon too much about the nonlinear system, gives an exciting alternative for studying nonlinear control system.
详细分析了开闭环迭代学习位置调节下的直线伺服系统结构与数学模型。
Analyzed the structure and mathematical model of linear servo system based on open-closed loop iterative learning position regulation in detail.
数学模型采用一个简单而实用的无标准样本学习模式识别方法。
Mathematic model is a simple and practical model recognition without standard sample studying.
针对其中采用的前馈控制与自学习策略、数学模型的设定、修正计算和控冷过程跟踪控制等作了深入的分析。
Moreover, the adopting feedforward control and self-learning strategy, mathematics model enactment and revision calculation and control cooling process control etc analysed deeply.
运用模糊数学中的隶属函数构造数学模型，提出了科学地评价高校毕业生学习水平的一种方法。
Apply administering function in fuzzy mathematics to build math model, This article presents a method to evaluate the level of university graduated scientifically.
提出了对随机事件概率分布参数进行自学习的方法，把知识化制造单元中的不确定因素纳入任务控制的数学模型。
The uncertain factors of the knowledgeable manufacturing cell were included in the task control model by utilizing a self-study method of probability distribution parameters of stochastic events.
本文在超文本学习状态空间中引入逆连接，从而在超文本状态空间的数学模型框架中，引入虚拟答疑概念，并给出一个问题答疑算法。
We define inverse links in hypertext learning state space and define virtual teacher concept. Then we get a seeking answer method in hypertext learning state space.
例举了物理模型与数学模型建立的几个例子，为物理学习提供了一些方法与见解。
This paper introduces some examples of physical models and mathematic models, providing some ways to study physics.
介绍了昆钢双机架轧机轧制流程和数学模型，并在此基础上详细讨论了模型在线自学习的方法和技巧。
The rolling process and mathematical model of the KISCO hot rolling mill are presented, and based on this, methods and skills for online self-study with the model are discussed in details.
神经网络不需要建立精确的数学模型，只是通过学习输入输出训练样本数据，就可归纳出隐含在系统输入输出中的关系；
Neural network need not establish accurate mathematics model, it sums up the relation implicit in the systematic input output through studying input output training sample data.
本文提出了一种基于模糊神经网络的火灾信号探测数学模型，得出了它的一种学习算法，并进行了计算机仿真。
A fire signal detection model based on fuzzy neural-network and its learning algorithm are presented in this paper.
本文主要致力于支持向量机、近似支持向量机的学习算法研究，特征提取的数学模型与算法的改进及其应用，聚类分析算法的收敛性证明。
This paper's main works is that: learning algorithm studies of support vector machine, mathematical model and application about feature selection, convergence analysis of clustering algorithm.
此方法不仅提高了系统的抗干扰性能和初始鲁棒性，而且充分发挥了迭代学习控制不需要建立精确数学模型的智能化优点。
This method not only improves disturbance and robustness of the controlled system, but also fully exerts the intellectualized virtue of ILC without precise model.
将学习矩阵作用于误差数据建立PDAG算法的数学模型，从理论上证明了PDAG算法的稳定性和收敛性。
The establishment of mathematical model of PDAG algorithm, with the application of a learning matrix to the error data, proved the stability and convergence of PDAG algorithm in theory.
将学习矩阵作用于误差数据建立PDAG算法的数学模型，从理论上证明了PDAG算法的稳定性和收敛性。
The establishment of mathematical model of PDAG algorithm, with the application of a learning matrix to the error data, proved the stability and convergence of PDAG algorithm in theory.
应用推荐