neural network training造句
例句与造句
- neural network training algorithm based on particle swarm optimization
神经网络基于粒子群优化的学习算法研究 - 2 . standard samples that are needed for neural network training are made
2.制作神经网络训练所需的标准样本。 - neural network training for system identification using a least square method
神经网络用于系统辨识的一种最小二乘法 - neural network trained with particle swarm algorithm and its application to nonlinear system identification
粒子群神经网络及其在非线性系统辨识中的应用 - the neural network training algorithm is improved, which is based on instantaneous optimal control method, taking into consideration of the energy of earthquake
摘要改进一种基于瞬时最优控制的神经网络训练算法。 - It's difficult to find neural network training in a sentence. 用neural network training造句挺难的
- the application of hybrid algorithm which combines improved genetic algorithm and error back-propagation algorithm in artificial neural network training is studied first
首先研究了将改进遗传算法和误差反向传播(bp)算法相结合的混合算法来训练人工神经网络。 - the advanced and efficient algorithm variable scale method for learning is used in bp neural network training . finally the control simulation results are given
在bp网络的训练过程中，采用了自调整的学习算子以加速收敛得到较好的学习效果，最后给出了仿真结果。 - finally, in order to solve the problem of getting the sample of input / output, a neural networks training algorithm is proposed that is based on instantaneous optimal control method
针对训练样本对难以获取的问题，提出了基于瞬时最优控制神经网络的建筑结构主动控制。 - the fault diagnosis example shows that the difficulty of neural network training is diminished and the fault diagnosis accuracy can reach more then 99 % when faults overlaps exist
通过诊断示例表明，该方法在故障类存在重叠时，降低了神经网络的训练难度，故障诊断的正确率达到99%以上。 - in parameter analysis predict module includes the normalization method and principal component analysis, etc . make the neural network training efficiency and improve the speed
在参数分析预测模块包中对参数进行了归一化及主元分析等项预处理，使神经网络的训练效率及预测结果的速度、稳定性和精度得到了提高。 - a main method to estimate the effect of neural network training depends on the forecast precision of the test samples, but there is no a proper method to select test samples from the sample set
研究内容主要是神经网络训练过程中样本分配问题。网络训练效果的评价依赖于样本分配方式，而目前进行样本分配主要是依靠经验和技巧的方法存在很大随机性。 - secondly, this paper proposes a neural network training scheme based on the linear least-square method through the characteristic analysis of multi-layered feed forward neural networks, and then applies that to identify a pmsm model
接着通过对多层前向神经网络特点的分析，给出了一种基于线性最小二乘法的神经元网络训练方案，并把它应用于永磁同步电机模型的辨识中。 - finally, most supervised learning neural networks train themselves through minimizing mean squared error . but when the neural network models trained in this way are used to do forecasting, the existence of outliers result in great imprecision
最后，大多数监督学习神经网络是通过最小化训练集的均方差来训练网络，而野值的存在导致这种训练的神经网络模型在预测时会产生极大的不精确性。 - enhance the production efficiency of high performance concrete fabrication . the software supplies some important fuction blocks, such as data management, neural network training, neural network chocking, performance predicting and costs calculating
最后,针对在高性能混凝土配制方面的应用,利用可视化编程语言delphi编制了应用软件,软件具有数据管理、网络训练、网络检验、性能预测和成本计算等功能。
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