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intelligent learning meaning in Chinese

智能学习

Examples

  1. Design and implementation of the remote intelligent learning support system
    远程智能支持服务系统的设计与实现
  2. We have developed a semantic retrieval system on computer network field and expected to provide a intelligent learning resource retrival service . this system tries to solve problems that ordinary systems cannot do , such as identify synonyms , relative retrieval
    该系统以计算机网络领域的知识和学习资源为检索对象,尝试解决查询中同义词无法识别,相关信息查找困难等问题。
  3. The specific application and experimental results in soccer robot system prove the feasibility and validity of the learning technique in complex adversarial systems . robots " intelligence level can be unproved through the use of this intelligent learning method
    机器人足球比赛的环境是一个动态、复杂、对抗的环境,并且每个机器人只能得到场上的不完全信息,如何使机器人能通过不断的学习提高自己的性能是开发足球机器人系统的关键内容。
  4. 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。
  5. The development of one - wire technique , fieldbus technique and gprs wireless communication technique propose a perfect way of realizing intelligent distribution and measurement . moreover , dai and agent theory provide powerful theoretical support to improve the system ' s ability of intelligent identification , intelligent learning and anti - noise
    单总线技术、现场总线技术以及gprs无线通讯技术的发展为智能分布和测控功能的实现提供了一套令人满意的解决方案,而分布式人工智能技术和agent理论为提高系统的智能判别、学习和抗干扰能力提供了有力的理论依据。
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