Introduces the accumulated error algorithm of forward neural network.
介绍前向神经网络的累积误差算法。
The method for the turbine fast valving control strategies with the single forward neural network is presented.
提出一种应用单隐层前向神经网络决定电力系统暂态稳定快速汽门控制规律的方法。
In this paper, the optimization design for feed-forward neural network is proposed based on chaos optimization.
采用混沌优化策略，提出一种前馈神经网络权参数的最优学习方案。
A feed forward neural network (FFNN) for the corner classification 4 (CC4) can instantaneously classify text data.
角分类前向神经网络CC4可以快速对文本数据进行分类处理。
In this paper, a new method to generate the texture image by use of Multi layer feed forward neural network is presented.
提出了一种利用多层前馈神经网络生成纹理图象的新方法。
A forward neural network is used to perform the maps from information space to task control space in gazing control module.
在瞄准控制模块中，用前馈型神经网络实现从信息空间到任务控制空间的映照。
This paper put forward and carried out a text classification method using feed-forward neural network and K-nearest neighbor.
提出并实现了一种结合前馈型神经网络和K最近邻的文本分类算法。
The shell coefficients are used as features to input into a feed-forward neural network to recognize the handwritten numerals.
将这些壳系数输入前馈神经网络簇，以识别该手写体数字。
The optimization design method is proposed for feed-forward neural network structure by means of chaos ergodicity and randomicity.
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。
A three layer forward neural network is applied to predict the pulp bleaching effect, and to distinguish the kind of operating mode.
应用三层前向网络作为预测纸浆漂白效果的分类模型。
Image fuzzy sets are taken as feature space, and the exact positions are optimized by using 3 layers forward neural network algorithm.
该算法将图像模糊集作为特征空间，尝试了在模糊域中采用3层前向神经网络搜索算法进行精确寻优的方法。
Based on the neural network theory, a two layers forward neural network based recursive scene matching algorithm is proposed in this paper.
本文基于神经网络理论给出了一种二层前向神经网络递推匹配算法。
In this paper, the optimization design for self-adaptive control system of feed-forward neural network is proposed based on chaotic variable.
基于混沌变量，提出一种神经网络自适应控制系统的优化设计方案。
The structure of a partially connected feed forward neural network and the training algorithm based on the recursive prediction error are constructed.
构造了局部连接的前馈神经网络的结构和基于递推预报误差的网络训练算法；
The classification of simple and complex objects is investigated using the multiple layer forward neural network and the self-organizing feature map network.
本文应用多层前馈神经网络和自组织特征映射神经网络分别对简单目标和复杂飞机目标进行了分类识别。
Based on the Crossing Cover Algorithm of forward neural network, this paper realizes the automatic classification of texts after the preprocessing of the texts.
本文利用前向神经网络的交叉覆盖算法，通过对文本进行分词的预处理后，实现文本的自动分类。
The structure of multi-layer feedback forward neural network is optimized by improved PSO. Learning quality and training speed of the neural network are improved.
提出的自适应粒子群优化算法，用于优化多层前馈神经网络的拓扑结构，提高了神经网络的学习质量和速度。
BP algorithm is the most popular training algorithm for feed forward neural network learning. But falling into local minimum and slow convergence are its drawbacks.
BP算法是前馈神经网络训练中应用最多的算法，但其具有收敛慢和陷入局部极值的严重缺点。
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.
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。
Based on CHI value feature selection and the cover algorithm of forward neural network, realizes the automatic classification of texts after the preprocessing of the texts.
通过对前向神经网络交叉覆盖算法的分析，针对该算法的特点，文中提出了扩大覆盖半径以减少拒识样本数据的新方法。
By adopting the method of soft measurement with Feed forward neural network modeling, the black liquid Baume scale of pulping section in papermaking process has been measured.
采用前向神经网络建模的软测量方法，对造纸过程制浆工段的黑液波美度进行测量。
Meanwhile some research achievements had been summarized about approaching and generalization ability of the multilayer forward neural network, which was rationale for the next modeling.
同时总结了有关多层前向网络逼近能力和泛化能力的一些研究成果，作为后续建模工作的理论依据。
For the shortages of the method in which network flux is predicted by forward neural network based on traditional BP algorithm, a 2-level network flux predict-adjust model is constructed.
针对基于传统BP算法的前向神经网络预测网络流量方法的不足，构建了一种二级的网络流量预测-校正模型。
CMAC (Cerebellar Model Articulation Controller) is a kind of local learning feed - forward neural network with simple architecture, quick learning convergence and effective implementation.
小脑模型清晰度控制器(CMAC)是一种局部学习前馈网络，结构简单，收敛速度快，易于实现。
It takes the core index as output of network, other indexes as inputs of network and establishes forward neural network model. Correlation between input and output can be depicted by network.
即以核心指标作为网络输出，其他因素指标作为网络输入，建立前向神经网络模型，通过网络刻画出输入和输出之间的相关性。
In this paper based on rough sets theory and neural network a new optimizing method of supplier 's choice is put forward.
本文提出了一种基于粗集理论与神经网络相结合的供应商优化选择新方法。
This paper applies parallel tangents of nonlinear programming during the weights training of neural network and puts forward a neural network in view of fast learning algorithm.
因此，作者将非线性规划的平行切线算法用于神经网络的权值学习，提出了一种具有快速学习算法的神经网络。
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。
To overcome the defect of overelaborate for the fussy, intricate and low accurate method, a new method of stability analysis of loess slopes is put forward with the theory of neural network.
针对黄土边坡稳定分析计算方法繁琐、复杂、精度低等缺陷，应用神经网络理论，提出了黄土边坡稳定性分析的新方法。
Based on expatiated the basic structure model and some general improved algorithms of BP neural network, this paper brings forward a new self-organization learning algorithm.
介绍了BP网络的基本结构模型与常见改进算法，在此基础上提出了一种新型的结构自组织BP网络算法。
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