本文提出了有限规模多层前向网络的概念。
The concept of scale-limited feedforward networks is put forward in the paper.
对当前前向网络研究中的一些问题提出了看法。
Some problems in the research of multilayer feedforward network are pointed out.
应用三层前向网络作为预测纸浆漂白效果的分类模型。
A three layer forward neural network is applied to predict the pulp bleaching effect, and to distinguish the kind of operating mode.
介绍了基于智能模型和基于多层前向网络的目标识别算法。
The algorithms of object recognition based on intelligent model and multi-layer...
介绍了基于智能模型和基于多层前向网络的目标识别算法。
The algorithms of object recognition based on intelligent model and multi-layer feedfo…
将神经网络应用到布局问题中，给出了布局问题的前向网络。
Neural network is applied to layout problem, and a feed-forward network of layout problem is proposed.
基于多层前向网络的诊断模型在设备故障诊断领域应用比较广泛。
Diagnosis models based on multilayer feedforward neural networks are widely used in the field of machinery fault diagnosis.
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.
RBF神经网络是一种三层前向网络，可有效用来进行非线性模型的辨识。
RBF neural network is a three-layer feedforward network and can be used to identify nonlinear model effectively.
前向网络在用于模式分类时，其网络的有效训练一直是一个受到关注的问题。
It has payed great attention to effective training of feedforward neural networks when they are used for pattern classification.
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.
BP网络具有简单易行、并行性强等特点，目前仍是多层前向网络的首选算法。
BP neural network is easy to implement with strong concurrent characteristic. At present, it is the first choice in terms of forward network.
该神经网络为3层前向网络，其隐含层神经元数为10个，输出层神经元数1个。
There are 3 layers in multi-layer front neural network, there are 10 nodes in hide layer, and is 1 node in the output layer.
线性网络部分的参数采用递推最小二乘法辨识，多层前向网络的权值和阈值采用BP算法学习。
The parameters of linear network are identified by recursive least square and weights and thresholds of MFNN are learned by BP algorithm.
前向网络利用反向传播算法训练多层网络，使训练后的网络较好地拟合样本空间中各点的函数值。
Feedforward networks use back propagation algorithm to train a multi-layer network. After training, the multi-layer network can fit the function in the data space very well.
将经验模式分解和多层前向网络的交叉覆盖算法相结合，提出一种时间序列相似模式的匹配算法。
This paper proposes an effective time series matching method by combining the empirical mode decomposition (EMD) with the alternative covering algorithm.
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。
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.
采用误差反传前向网络（简称BP网络）方法，以日、月相概率作为输入因子，建立长期天气预报模型。
A forecast model for long-term weather forecast is established in terms of a BP neural network using solar-lunar positions as input factors.
论述了用神经网络中的前向网络BP算法来计算脉冲开关角的一种计算方法，并进行了MATLAB仿真。
This paper discusses about an algorithm of calculating the pulse switch Angle by using of forward network BP algorithm based on the Neural network, and makes the MATLAB simulation.
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.
径向基函数神经网络的理论基础是函数逼近，用一个两层的前向网络去逼近任意函数，以更好地进行潮流控制。
The theoretical basis of ANN is function approximation, it USES a two - level feedforward neural network to approach arbitrary function to realize better power flow control.
应用三个多层前向网络（隐层神经元数、初始权值等取不同值） ，设计了基于分类确信度的多网络融合结构。
A multiple networks fusion structure is constructed by combining three multi layer forward propagation network that differ from the others in internal parameters such as the number of hidden …
基于进化规划(EP)方法，该文提出了设计多层前向网络拓扑结构和权值分布的一种新算法—EPANN算法。
Based on evolutionary programming, a novel algorithm named EPANN for designing the topology and weight distributions of feedforward networks is proposed in this paper.
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.
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.
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.
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。
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。
Based on the Crossing Cover Algorithm of forward neural network, this paper realizes the automatic classification of texts after the preprocessing of the texts.
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