This paper puts forward a seasonal neural network model to curve fitting analysis for nonlinearity and predict for the seasonal time series of outpatient amount.
本文提出一种利用季节性神经网络模型对医院门诊量进行非线性曲线拟合分析和预测。
Then, an example of the fitting arithmetic is given, and the infection by the neural network parameter on the fitting result is researched.
然后给出了一个具体的拟合算法实例，探讨了神经网络参数对于学习过程及拟合结果的影响；
It indicates that the neural network can produce models with better fitting quality and predictive quality in comparison with traditional G-O model.
结果表明：神经网络预测软件缺陷数比传统的G - O模型有更好的质量拟合度和估测能力。
In this paper, a method for converting GPS height to normal one by means of support vector machine is proposed, and compared with the methods of neural network, polynomial fitting etc.
结合GPS测量和水准测量资料，利用支持向量机方法对GPS高程进行了转换，并与神经网络和多项式拟合等拟合的结果进行了比较，得出了一些有益的结论。
Wavelet neural network, and realize curve fitting, data classification, fault diagnosis, learning faster than the traditional BP.
小波神经网络，实现曲线拟和，数据分类，故障诊断，学习速度快于传统BP。
The model was tested with observed data. The results showed that RBF Neural Network conversion accuracy than Quadratic fitting and BP Neural Network.
用实际观测数据对该模型进行了试验，结果表明，用径向基神经网络转换GPS高程精度高于二次拟合法和BP神经网络法。
Expert system of full-mechanized equipments fitting based on artificial neural network is researched and processing method is presented in this paper.
对基于神经网络的综采配套专家系统进行了研究，给出了具体处理方法。
The network was tested with the experimental data and the deviations between the measured data and the forecast were less than 3%, this means that the neural network had a good fitting.
网络检验结果表明，原丝性能预测值与实测值的相对误差不到3%，网络具有良好的拟合性。
The present paper also analyzed the obtained experimental results and compared the fitting empirical formulas with the use of neural network analysis.
本文也应用神经网络对试验数据进行了分析并且与拟合公式的结果进行了对比。
Over-fitting in feedforward multilayer neural network was studied in this paper.
对多层前传网络的过拟合问题进行了探讨。
Over-fitting in feedforward multilayer neural network was studied in this paper.
对多层前传网络的过拟合问题进行了探讨。
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