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sample train中文是什么意思

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  • Below are some sample training routines to get you started
    以下是一些训练程序的例子,以供你开始训练。
  • Effect factors on learning errors in sample training of diagnostic system for boiler
    锅炉诊断系统中专家网络权值训练误差的影响因素
  • Through enough samples training, an effective rbf neural network can be established
    通过足够样本的训练,构造出一个有效的神经网络模型。
  • The influence to the training circle times with number of hiding layer node 、 learning rate etc are discussed during the course of samples training . by comprehensive analyses and comparing, the comparatively rational value is adopted to be network's parameters
    本文在制粉系统故障及其相关故障诊断样本训练过程中,分析了隐层节点数、学习率等因素对网络训练速度的影响,为网络参数合理选取提供了依据。
  • The simulation tests result indicates that the speed and precision of sample training are increased because of sample clustering for fuzzy modular networks . and the problem of slow training speed and local minimum point are avoided when bp networks are applied in the fault diagnosis of complex boiler
    本文所建的用于锅炉故障诊断的模糊模块化神经网络模型因进行了样本聚类,实验结果表明:其网络训练的速度和精度明显提高,同时有效地解决了bp网络应用于复杂的锅炉系统故障诊断时,存在训练收敛慢并容易陷入局部最小点的问题。
  • Then the simulation tests on drum excess water and lack of water were practiced; the results indicate that : if the network parameters are selected correctly , the training samples can be convergent to a relative small and stable value with a small learning error . some comparisons can be made through sample training under the circumstance of me and the hme, after adopting hme with the tree-style structure, two layers of the gate network can enhance the control of the algorithm system . as a result the precision and stability is improved
    其实验结果表明:只要合理选取网络参数,本文所编辑的样本均能收敛于一个较小的稳定值,训练误差也较小,并且通过分层与不分层混合专家网络的样本训练结果比较可知,采用这个具有树结构型式的分层混合专家网络,由于其中两层门网络对系统的控制作用加强,因此样本训练的精度与稳定性有所提高。
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Last modified time:Sat, 16 Aug 2025 00:29:56 GMT

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