本文提出了一种多层神经网络自动生成的新算法。
This paper presents a new algorithm of automatically generating multi-level neural network.
用前馈多层神经网络方法研究了高聚物的热力学性质。
The thermodynamical properties of polymers are studied using a BP artificial neural network model.
利用前向多层神经网络的反向传播算法，即BP算法。
In this paper, the back propagation algorithm of a multilayer feedforward neural network was defined as BP algorithm?
基于多层神经网络映射存在定理，建立近似结构分析的人工神经网络模型。
Based on the theorem of the existence of multilayered neural network mapping, a model of artificial neural network is set up for approximate structural analysis.
最后，介绍了多层神经网络模型在丝杠螺纹磨削过程的预测与控制中的应用。
The application of multi-layer neural networks in the prediction and control of lead-screw grinding is discussed.
函数逼近应用实例结果表明，将有理式多层神经网络用于解决传统问题是有效的。
Experiment result illustrates the effectiveness of the rational fraction multiplayer feed forward neural networks in solving traditional problems.
双螺旋问题不仅使统计方法受到挑战，更使人们对一般前向多层神经网络的能力提出疑问。
Not only does the two spiral problem give a challenge to the statistic methods again, but also brings a doubt about the abilities of the general feedforward multi layered LBF neural networks.
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.
手写体数字识别是模式识别中的研究课题之一，本文对多层神经网络用于手写体数字识别进行了探讨。
One of the main study in pattern recognition is handwritten digit recognition, In thispatper, we discuss multi-layered neural network used to handwritten digit recognition.
基于误差反向传播的机制，针对连续制造过程的预测与控制，提出多层神经网络的逐个样本学习算法。
A one-by-one learning algorithm for multi-layer neural network modelling is presented based on the back-propagation mechanism of network error.
经仿真研究及实际运行表明，多层神经网络PID控制器具有很强的鲁棒性、自学习功能和自适应解耦功能。
Both simulation and practical application results show that this controller has strong robustness and the capabilities of self learning and adaptive decoupling.
通常说，某个算法有可能对你的数据建立一个好的模型就是可表示。 （多层神经网络可以表示任何函数？？）
The only certain way (that we know of now) to know if an algorithm will model your data well is to try it out.
经过对实际算例的模拟，结果表明本文给出的快速BP算法是一种适用于多层神经网络的、性能忧良的学习算法。
The examples show that the Quick BP Algorithm has good capability and is applicable to the multilayer neural network.
神经网络参数估计有许多训练算法，BP算法是前向多层神经网络的典型算法，但BP算法有时会陷入局部最小解。
There are a few training algorithms for parameter estimation of neural networks, in which Back Propagation(BP)algorithm is the typical algorithm for feed-forward multi-layer neural networks.
本文基于多层神经网络计算模型 ，提出了一种新的飞机主要参数的估算方法 ，并给出了实现这种方法的详细步骤。
This paper chiefly describes the structure, the working principle and main parameters' design process of XL1000 fine coal centrifuge.
针对一类非线性动态系统，提出了一种新的基于多层神经网络的自适应预测器，并对基于神经网络的预测机理进行了分析。
This paper develops a novel multilayer neural networks based on adaptive prediction technique for a class of nonlinear dynamical systems, and the prediction mechanism is analyzed .
深度学习是指训练多层的人工神经网络的方法。
Deep learning refers to the method of training multi-layer artificial neural networks.
多层前馈人工神经网络在装备故障诊断中的应用含设备运行状态特征值设定和故障判定。
The application of multi-layer feed-forward artificial neural network in fault equipment diagnosis includes feature value setting of equipment operation condition and fault judgment.
提出一种关于多层前向神经网络结构的混沌优化设计方法。
The optimization design method is proposed for feed-forward neural network structure by means of chaos ergodicity and randomicity.
本文采用多层前馈神经网络对遥感图像进行压缩，给出了具体的压缩算法。
This paper compresses remote sensing images with multilayer feedforward neural network and gives the compression algorithm in detail.
通过构造一个特殊的多层前向神经网络，利用模拟并行测量装置的基本原理，设计了相应的谐波监测电路。
Using the basic principle of analog parallel harmonics measurement and a special multi-layer feedforward neural network, a corresponding harmonics measurement on-line is built.
根据空间机器人姿态干扰特性，本文提出了利用多层前向神经网络来辨识自由飞行空间机器人本体质量的算法。
This paper presents a new method of identifying the mass of free flying space robot body using multilayer feedforward neural network based on its attitude disturbance characteristic.
多层前馈神经网络是在实践中应用最为广泛的一种神经网络。
Multilayer feedforward neural network is the most popular one in practice.
提出了一种基于混沌变量的多层模糊神经网络优化算法设计。
An optimization algorithm design based on chaotic variable is proposed for multilayer fuzzy neural network.
实验表明，多层前传神经网络模型可以有效地对天线的方向性图进行建模，可用于天线的计算机辅助设计（CAD） 。
The experiments show that the multi_layer feed forward neural networks can model the radiation patterns of the antennas efficiently and are suitable for the CAD of antennas.
给出一种基于多层前馈神经网络的中文文本分类模型，介绍了该模型的设计和实现。
This paper presents a text categorization model based on multilayered feedforward neutral network, and introduces the design and implementation of this model.
采用遗传算法训练的多层前馈神经网络实现番茄成熟度的自动判别。
Automated identification of tomato maturation using multilayer feedforward neural network with GA can be realized.
多层前向神经网络网络是研究最为成熟、应用最为广泛的人工神经网络。
Feedforward neutral network are researched on the most mature and used most widely.
多层前向神经网络网络是研究最为成熟、应用最为广泛的人工神经网络。
Feedforward neutral network are researched on the most mature and used most widely.
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