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?
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.
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.
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.
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.
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.
本文提出一种改进的神经网络结构，它由线性网络和多层前向网络两部分组成。
A modified neural network structure which is composed of a linear network and a multilayered feedforward neural network (MFNN) is presented.
本文提出了一种源于汉明类多层前向神经网络分组码译码器。
This paper presents a neural network decoder of linear block codes which originates from Hamming network.
多层前向神经网络的误差逆传播算法（简称BP算法）的输入输出关系实际上是一种映射关系，适于解决上述非线性映射问题。
The I/O relationship of back propagation algorithm (BP algorithm) for Feed-Forward Multi-layered Neural Network is a mapping relationship, which can resolve the above nonlinear problem.
提出了多层前向神经网络的新型二阶递推学习算法。
A new second order recursive learning algorithm to multilayer feedforward network is proposed.
本文用多层前向神经网络求解该非线性偏微分方程，从而逼近非线性系统的中心流形。
In this paper, multi-layer feedforward neural networks are used to solve the nonlinear partial differential equation, and approach the centre manifold of the nonlinear system.
采用多层前向型神经网络，对电站锅炉对流受热面的实时污染状况建立了监测模型。
Fouling Monitoring Modeling System based on the BP neural network for boiler convection surfaces is presented in this paper.
采用多层前向神经网络建立机械手逆运动学模型。
The multilayer forward neural networks are used to establish the inverse kinematics models for robot manipulator.
研究用多层前向神经网络求解六自由度摇摆台位置正解的方法。
A method based on the neural network for the forward kinematics solution of Stewart platform is studied.
该文介绍了一种基于人工神经网络的软件失效预测模型，给出了基于反向传播算法的多层前向网络的网络结构。
This paper presents a kind of software faults prediction model based on artificial neural network and the structure of the feed-forward multi-layer network with backpropagation learning algorithm.
在一阶马尔可夫假设下，利用多层前向神经网络进行迭代逼近求解。
The solution was put forward by the iterative approach through multiple-forward network under Markov hypothesis.
介绍了系统构成原理和用于废水紫外光谱图识别的多层前向神经网络的设计， 分析了含有不同隐节点数的前馈网络的精度；
The structure of the system and the design of the multiple feedforward neural network used for identification of spectrogram of wastewater are discussed.
针对一个375MW热电厂的锅炉—汽轮机系统仿真模型，采用多层前向神经网络进行离线建模；
The dynamic model of a simulator of the boiler-turbine system of a 375 MW(megawatt) thermal power plant is built by a feedforward neural network that is trained offline.
算法是训练多层前向神经网络的算法中最常用、在实际应用中效果最好的一种。
Among the algorithms which being used to train the forward neural network, BP algorithm is the one, which get the most common used and achieve the best practical effect.
文章提出了一种应用人工神经网络进行入侵检测分类器设计的新方法，即采用多层前向网络的交叉覆盖算法进行入侵检测分类器的设计。
A new method of designing the classifier for intrusion detection is proposed based on neural networks, which is the alternative covering algorithm of multi-layer neural networks.
文中介绍了目前使用的几种不同的人工神经网络设计算法：BP算法、FP算法、多层前向网络的交叉覆盖设计算法。
The thesis introduces some ANN design algorithms, which are BP algorithm, FP algorithm, alternative covering design algorithm of multi-layer neural networks.
本文还详细介绍了一种用多层前向神经网络实现模糊逻辑的自适应神经网络模糊推理系统——ANFIS，并用它来分析、验证神经模糊控制的控制效果。
This paper also stated the method of Adaptive Neural-Fuzzy Inference System (ANFIS) in details, which was used to analysis and testify effect of the NN-FC.
每个多层前向神经网络包含两个隐含层，以大米图像的形状特征和颜色特征作为网络输入。
With two hidden layers MLNN was trained using morphological and color features of the rice grains extracted from their images as input.
梯度下降算法是训练多层前向神经网络的一种有效方法，该算法可以以增量或者批量两种学习方式实现。
Gradient descent algorithm is an efficient method to train FNN, and it can be realized in batch or incremental manner.
R BF神经网络作为多层前向神经网络的一种，同样有着广泛的应用。
As one of FNN, RBF network is also widely used in many fields.
采用多层前向型神经网络，对燃煤循环流化床锅炉模型化进行了研究。
This paper presents a modelling method of the circulating fluidized bed combustion (CFBC) boiler using a feedforward neural network.
采用多层前向型神经网络，对燃煤循环流化床锅炉模型化进行了研究。
This paper presents a modelling method of the circulating fluidized bed combustion (CFBC) boiler using a feedforward neural network.
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