采用多层线性模型对大学生网络利他行为进行实证研究。
Multilevel model was used to make an empirical study on the Internet altruistic behavior.
前言：目的：探讨学生高考语文成绩的影响因素。方法：运用多层线性模型，对751名高三学生的高考语文成绩进行调查分析。
Objective: to explore the influencing factors in the Chinese Achievement Test in Chinese Achievement Test of the College Entrance Examination.
基于线性界面断裂力学，提出了焊接接头的新模型—多层模型。
Based on Linear interfacial Fracture Mechanics, a new welding joint model-multi layered interfacial model is proposed in this paper.
所采用的网络为一种将线性模型与多层前向网络相结合的DLF网络。
The neural network used is called DLF network, which is the combination of multilayer feedforward network with linear model.
对线性网络的模型选择和多层前馈网络的关系做了细致的研究，并分别进行了仿真。
A delicate research about the relationship of the selection of model of the linear network part and the multi-layered feed-forward network part and simulation are presented.
依据BP神经网络系统能够利用人工智能的方法，准确分析多变量非线性系统的特性，采用多层向前BP神经网络系统建立起了橡胶老化预报模型。
Based on characteristics of BP neural network which can precisely analyze multi-variable nonlinear systems using artificial intelligence, in this paper, we proposed model for predicting rubber aging.
针对非线性离散时间系统的控制问题，提出了一种基于近似模型的多层模糊CMAC自适应控制方法。
A multi layer fuzzy CMAC adaptive control method based on an approximate model is presented in this paper for nonlinear discrete time systems.
基于损伤条件下果实刚性跌落冲击变形特征，提出一表征其非线性黏弹性的动态流变模型，建立多层果实跌落冲击模型。
The dynamic nonlinear viscoelastic model and dropping shock model of multilayer fruit were developed in terms of the dynamics characteristics obtained by dropping shock tests.
讨论了利用仅含一个隐层的前馈多层神经网络来辨识离散时间非线性动态系统时的模型检验问题。
This paper investigates the problem of the model validation in identifying discrete-time-nonlinear dynamic systems by using neural networks with a single hidden layer.
讨论了利用仅含一个隐层的前馈多层神经网络来辨识离散时间非线性动态系统时的模型检验问题。
This paper investigates the problem of the model validation in identifying discrete-time-nonlinear dynamic systems by using neural networks with a single hidden layer.
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