前向纠错通过一种Reed - Solomon算法和增强FEC编码技术的新颖结合得以实现。
Forward error correction is achieved using a novel combination of Reed-Solomon and Turbo FEC coding techniques.
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.
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.
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.
介绍前向神经网络的累积误差算法。
Introduces the accumulated error algorithm of forward neural network.
该算法利用前向线性预测技术以及区间正交小波变换抑制边界效应的能力，有效地减小了角随机游走和发动机干扰。
The algorithm USES forward linear prediction and the ability of the interval wavelet transform to restrain terrible edge effects, thus, the Angle walk and engine jamming are reduced effectively.
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.
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.
针对仿生手臂在目标任务需求改变后对规划平稳动态过程的需求，提出了实时检测动态参数并将其反馈至前向控制环节进行在线协调控制的算法。
To meet the requirements for a bionic-arm in a scheduled smooth-dynamic process caused by the change of its required tasks, an online harmonious control algorithm is proposed.
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.
提出了基于硬限幅功能函数的前向神经网络的分类学习算法，并将其应用于可分凸集或不交集合的分类。
A learning algorithm based on a hard limiter for feedforward neural networks (NN) is presented, and is applied in solving classification problems on separable convex sets and disjoint sets.
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.
本文提出了一种新的前向神经网络快速分层学习算法。
A new rapid layer-wise learning algorithm for feed-forward neural networks is proposed in this paper.
该模型采用五层前向模糊神经网络，学习算法为梯度下降法。
The model was a Feedforward Fuzzy neural network possessing five layers, and Gradient Descent was adopted as learning algorithm.
提出了一种利用遗传算法优化前向神经网络的结构和正则项系数的混合学习算法。
A hybrid learning approach is presented in which genetic algorithms are used to optimize both the network architecture and the regularization coefficient.
该算法具有快速捕获性能，其前向结构很适合VLSI数字硬件实现。
The algorithm is provided with the capability of rapid capture, its ahead structure is adapted to be realized with VLSI digital hardware.
推理时，在“向导式”模式下，利用“类广度”优先搜索算法完成农作物病害的前向推理。
When we speculate, with the "Wizard" method, we use "breadth" of the disease priority search algorithm to complete reasoning.
把填充函数法与BP算法相结合，提出一种训练前向神经网络的混合型全局优化新算法。
This paper proposes a new global optimization technique in which combines the filled function method and BP algorithm for Training feedforward neural networks.
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.
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.
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.
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.
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.
该算法中，径向基函数神经网络(RBFNN)用作前向模型，IGLSA用于求解逆问题中的优化问题。
In the algorithm, the radial-basis function neural network (RBFNN) is utilized as forward model, and the IGLSA is used to solve the optimization problem in the inverse problem.
对于贪婪算法的改进，前向搜索是一种众所周知的技术。
Lookahead search is a well-known technique for improving greedy algorithms.
本文研究数字音频无线传输中的前向纠错（FEC）算法和电路 的设计及实现。
This dissertation researches the arithmetic and the circuit implementation of Forward Error Correction (FEC) in digital audio wireless transmission.
算法采用有向图来表示攻击类别及其逻辑关系，按照前向匹配和缺项匹配的方式对报警进行关联。
In this algorithm, an extended directed graph is used to show attack types and their relations, while the correlation is performed according to the method of forwards matching and absent matching.
算法采用有向图来表示攻击类别及其逻辑关系，按照前向匹配和缺项匹配的方式对报警进行关联。
In this algorithm, an extended directed graph is used to show attack types and their relations, while the correlation is performed according to the method of forwards matching and absent matching.
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