介绍前向神经网络的累积误差算法。
Introduces the accumulated error algorithm of forward neural network.
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.
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.
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.
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.
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。
A feed forward neural network (FFNN) for the corner classification 4 (CC4) can instantaneously classify text data.
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.
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。
Based on the neural network theory, a two layers forward neural network based recursive scene matching algorithm is proposed in this paper.
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.
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.
用前向神经网络，对纯物质的蒸气压和汽化热与温度的函数关系进行预测。
A feedforward neural network was used to predict functional relationship of temperature with steam pressure and heat of vaporization of the pure material.
本文探讨了只用单个隐含层的前向神经网络对未知非线性动态系统的识别。
This paper investigates the identification of unknown nonlinear dynamical system using multilayered feedforward neural network with a single hidden layer.
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.
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。
The method for the turbine fast valving control strategies with the single forward neural network is presented.
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。
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.
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.
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.
针对前向神经网络泛化问题，从函数论的角度分析了影响前向神经网络泛化性能的因素。
To investigate generalization capability of feedforward neural networks, the influencing factors of generalization capability of feedforward neural networks are analyzed according to function theory.
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.
提出了一种适于雷达在线预测的新的前向神经网络训练的优化步长初值选择方法及调整方法。
The main results can be summarized as following:(1) A novel method of selecting the initial optimum step and its adjustment is presented in FNN, which is suitable for the prediction on-line.
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.
样条神经网络是一个三层前向神经网络，可广泛用于非线性系统的建模、控制和模式识别等领域。
B-spline neural network is a three layer feedforward neural network and can be used in modeling, control, pattern recognition for nonlinear systems and other fields.
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.
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.
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.
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