• A combination of Function Count-based analysis and learning-oriented estimation could be a natural choice for use during this phase.

    这个阶段自然地选择组合基于功能分析面向学习评估

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  • Based on the strong learning ability and fuzzy logic function of ANFIS, a method for predicting vertical ultimate bearing capacity of single pile is presented.

    利用ANFIS学习能力模糊逻辑推理功能,建立了竖向极限承载力预测的自适应网络模糊推理系统。

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  • Based on the learning characteristic of neural network and the function approximation ability of the wavelet, a new self tuning control algorithm is presented.

    依据非线性逼近能力神经网络学习特性,提出了种基于小波神经网络模型的自校正控制算法。

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  • C#-based electronic shopping mall system, to achieve the basic function, can be used as a reference for learning.

    说明:基于C#的电子购物商城系统实现基本功能可以作为学习参考

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  • A Boolean function minimization system based on learning from examples called SWT is introduced in this paper.

    本文介绍一个示例学习方法极小化布尔函数系统SWT

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  • In consideration of the complexity of the aggregation operation of time in process neural networks, a new learning algorithm based on function orthogonal basis expansion is proposed.

    该文考虑过程神经网络时间聚合运算复杂性基础上,提出了基于函数正交基展开的学习算法

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  • Radial Basis Function (RBF) neural network learning algorithm based on immune recognition principle is proposed.

    提出了一种基于免疫识别原理径向函数神经网络学习算法

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  • Based on the model, the Taylor series coefficients of control function are adjusted by an iterative learning law and the learning gain matrix is designed via LMI optimization.

    模型基础泰勒级数系数调整控制功能迭代学习法律,学习增益矩阵通过LMI优化设计

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  • Brain Fit, by Nutthawut Piriyaprakob of Thailand based NPDA studio, is a learning studio specifically designed to enhance brain function, imagination and co-ordination for small children.

    大脑健身室泰国NPDA工作室设计一个为大脑学习专门设计的工作室,加强儿童大脑功能想象力协调学习的工作室。

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  • To solve the problem of slow update speed in Q learning, a multi-step Q learning scheduling algorithm is proposed, in which the value function is updated based on the information in multiple steps.

    针对任务调度Q学习算法更新速度问题,提出基于信息更新函数的多步q学习调度算法。

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  • 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函数CMAC在线学习控制方案,给出相应的学习算法

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  • Finally, we develop modern educational technology network course based on evolving purpose driven, and use the function modules to carry out the network learning activities.

    最后依据设计计划开发了生成性目的导向的《现代教育技术网络课程平台,通过各个功能模块铺了各项网络学习活动。

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  • The learning algorithm of membership function based on the RBF Neural Network is discussed and an example is given to demonstrate the validity of this algorithm.

    文中探讨了一种用于提取模糊规则RBF神经网络结构,提出基于此网路结构的模糊隶属度函数学习算法,最后给出了用于验证该算法有效性的仿真实例

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  • For reinforcement learning control in continuous Spaces, a Q-learning method based on a self-organizing fuzzy RBF (radial basis function) network is proposed.

    针对连续空间下强化学习控制问题,提出了一种基于自组织模糊rbf网络Q学习方法

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  • Oracle Learning Resources, including the ROWID of the concept, the concept of indexing, unique indexes, composite indexes, bitmap indexes and function-based indexes.

    Oracle学习参考包括ROWID概念索引的概念、唯一索引组合索引、位图索引 基于函数的索引等。

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  • A Radial Basis Function (RBF) neural network learning algorithm based on immune recognition principle is studied.

    提出了一种基于免疫识别原理的径向函数神经网络学习算法

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  • A Radial Basis Function (RBF) neural network learning algorithm based on immune recognition principle is proposed.

    提出一种基于免疫识别原理径向函数神经网络学习算法

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  • The learning and communication based on the website is a new function of web-based resources for service.

    利用相关网站进行网络化学习沟通,为他人提供一定服务,成为网络资源个重要功能

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  • Besides, we should display classroom study battle position function to arouse students' inner motivation through moral education seepage and inquiry-based learning approach.

    另外我们还要进一步发挥课堂教学的主阵地作用通过物理教学中的德育渗透以及探究式教学来激发学生内部动机

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  • This paper proposes a kind of fuzzy neural network control system based on learning algorithm and multi-valued function which derives from the fusion of the fuzzy logic and neural net…

    本文进行模糊神经网络控制器应用研究,经过仿真实验证明该控制器能够获得较理想的控制效果。

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  • Based on the inter-arrival time of data packets obtained from the learning function, the mean of these inter-arrival time is the possible sniff interval;

    基于观测到数据猝发到来之间时间间隔,取平均值获得可能呼吸间隔值;

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  • Based on the inter-arrival time of data packets obtained from the learning function, the mean of these inter-arrival time is the possible sniff interval;

    基于观测到数据猝发到来之间时间间隔,取平均值获得可能呼吸间隔值;

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