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智能学习的英文

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"智能学习"怎么读用"智能学习"造句

英文翻译手机手机版

  • intellectual learning
  • intelligence learning
  • intelligent learning

例句与用法

  • Development of intelligent air - conditioning and refrigeration designing software for study
    具有智能学习功能的空调制冷系统设计软件的开发
  • I analyze the request of curriculum arrangement , using intellect learning arithmetic ' s q - learning , designing an applied mathematics model to deal with this problem
    本文对大学课表的排课要求进行了全面的分析,结合智能学习算法的q学习算法,设计出了课表编排问题的较为实用的模型。
  • Self feed back model that adopt fuzzy deduce technology and fuzzy integrate judge mechanism is introduced in this article , it is the kernel function model of intelligent instruction system
    论文的自反馈模型采用以模糊数学为基础的模糊推理技术和模糊综合评判机制,是智能学习系统的核心功能模块。
  • Therefore , self feed back model is a key technique to meet the demand of individual intelligent instruction system , and will be a stubborn base to make individual distance education popularize ^ spread and practice
    自反馈模型较好解决了智能学习系统个性化要求的关键技术,为个性化远程教育的普及与更好的推广、实施打下了基础。
  • In the algorithm level , currently various training algorithms of neural networks , including gradient algorithms , intelligent learning algorithms and hybrid algorithms , are comparatively studied ; the optimization principle of bp algorithm for neural networks training is analyzed in detail , and the reasons for serious disadvantages of bp algorithms are found out , moreover , the optimization principle of two kinds of improved bp algorithms is described in a uniform theoretic framework ; and the global optimization algorithms of neural networks , mainly genetic algorithm are expounded in detail , it follows that a improved genetic algorithm is proposed ; finally the training performances of various algorithms are compared based on a simulation experiment on a benchmark problem of neural network learning , furthermore , a viewpoint that genetic algorithm is subject to " curse of dimension " is proposed
    在算法层,本文对目前用于神经网络训练的各种算法,包括梯度算法、智能学习算法和混合学习算法进行了比较研究;对用于神经网络训练的bp算法的优化原理进行了详细的理论分析,找到了bp算法存在严重缺陷的原因,并对其两类改进算法-启发式算法和二次梯度算法的优化原理,在统一的框架之下进行了详尽的理论描述;对神经网络全局优化算法主要是遗传算法进行了详细的阐述,并在此基础上,设计了一种性能改进的遗传算法;最后基于神经网络学习的benchmark问题对各种算法在网络训练中的应用性能进行了仿真研究,并提出了遗传算法受困于“维数灾难”的观点。
  • Firstly , we have put forward a mathematic form ? interest vector - to express the user ' s interest and have given a formula to calculate quantificationally the interest degree of interest item . secondly , we apply the method of reinforcement learning to intelligent learning agent to make it leam the user ' s interest more precision , more quickly and more efficiency , to make it discover the divert of the user ' s interest in time . thirdly , we have developed a mean of information search and filtrate on user ' s interest
    这些研究工作主要体现在:提出用户兴趣的数学表示形式? ?兴趣向量,并提出定量地计算用户对兴趣项的兴趣度的计算方法;提出采用强化学习算法,使智能学习agent能够更准确,更快速和更高效地学习到用户的兴趣和及时发现用户兴趣的转移;提出面向用户兴趣的信息搜索和信息过滤方法;提出一种基于对象的agent编程模式,也称为用扩充oo建模技术或方法学的适用性来设计agent系统。
  • Finally , the paper has designed the program of bp neural networks , neural networks based genetic algorithms and hybrid intelligence learning algorithms in vc + + , and applied those algorithms to the xor problem , the function approximating problem and the explaining high difference seismic data problem . the experiment results have showed that hybrid intelligence learning algorithm for training neural networks is better , faster and more accurate than bp algorithm and genetic algorithm
    最后,用vc + +语言设计了bp神经网络、基于遗传算法的神经网络和混合智能学习法神经网络实现和进行计算机仿真运行程序,并分别将它们应用于解决异或、函数拟合和高分辨率地震资料解释等问题,从实践中证明混合智能学习法神经网络与bp神经网络和基于遗传算法的神经网络相比有更好的运算性能、更快的收敛速度和更高的精度。
  • At the same time , i lead the multiple intelligences into the physics teaching and make some initial experiment and research , which are based on the multiple intelligences study both at home and abroad . in both the theory and the practice , i have achieved some achievements . according to the statistics and analysis of the experiment result
    本文不仅从理论上论证了在中师物理教学中开发多元智能的必要性和可行性,而且在借鉴了国内外关于多元智能学习的经验基础上,将多元智能引入物理教学中,并在课堂教学和课题研究两方面同时在中师物理教学过程中进行了初步的实验探索,取得了一些成果。
  • Thirdly , considering the characters of bp neural networks which is good at local minimum and bad in global optimization and the feature of ga neural networks which is bad in local minimum and good at global optimization , the paper proposes a new algorithm combined ga with bp , referred as to hybrid intelligence learning algorithm , which is applied to the problem optimizing the connection weight of the feedforward neural networks
    第三,针对bp神经网络局部搜索能力强、全局搜索能力差和基于遗传算法的神经网络全局搜索能力强、局部搜索能力差的特点,本文提出了一种集bp算法和遗传算法优点为一体的混合智能学习法,并将其应用到优化多层前馈型神经网络连接权问题。
  • Architected in the easy english caf , the english theater and the english pub , this section is intended for comprehensive situational english experiencing and training , through multi - intelligence learning and activities , for both language acquisition and cultural assimilation prompted by designed or natural situations in business communication
    以悠闲英语茶座、英语小剧场和英式酒吧为构造,实训室第一部分适用于通过设计或自然的商务沟通情景,通过多智能学习和活动,进行综合情景英语的体验和训练,实现语言发展和文化融合。
  • 更多例句:  1  2
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