Introduce the Error Back-Propagation algorithm.
介绍了误差逆传播算法。
This paper proposes an improved belief propagation algorithm for stereo matching.
给出了一种用于立体图像匹配的改进置信传播算法。
The mathematic frame of the neural network and error back propagation algorithm were introduced.
介绍了小波神经网络的数学框架及其误差反向学习算法。
The simple improved back propagation algorithm of the SNC is liable to real-time and on-line control.
单神经元控制器(snc)结构简单，改进的反向传播算法适合实时在线控制。
After some research I have chosen a multilayer perceptron and standard back-propagation algorithm for training.
经过我选择了多层感知和标准的反向传播训练算法的研究。
In this paper, the back propagation algorithm of a multilayer feedforward neural network was defined as BP algorithm?
利用前向多层神经网络的反向传播算法，即BP算法。
With the back-propagation algorithm in hand, we can turn to our puzzle of identifying the language of source code samples.
在掌握了反向传播算法后，可以来看我们的识别源代码样本语言的难题。
We use an address symbolic value propagation algorithm to derive possible address set that might be accessed by a memory instruction.
我们通过一种值预测及传播算法检测存储器指令数据相关。
This article shows that the sum-product decoding algorithm for the LDCC can be improved with a local probabilistic propagation algorithm.
LDCC码的和积算法译码方法可以进一步改进为局部概率传播译码方法。
An improved Backward Error Propagation Algorithm used as neural network controllers to control a nonlinear system is presented in this paper.
对非线性系统神经网络控制器提出了一种改进的误差反向传播算法。
where j varies over all the output nodes that receive input from n. Moreover, the basic outline of a back-propagation algorithm runs like this.
这里每个从n接收输入的输出节点j都不同。关于反向传播算法的基本情况大致如此。
Methods To optimize error backward propagation algorithm by using generic algorithm, to combine these two methods together to create hybrid algorithm.
方法用遗传算法（GA）优化误差反向传播（ BP） 算法，两者结合构成混合算法。
In this paper, making use of Kalman filtering, we derive a new back-propagation algorithm whose learning rate is computed by Riccati difference equation.
本文运用卡尔曼滤波原理，提出了一种新的神经网络学习算法。该算法的学习速度是由带时间参数的里卡蒂微分方程来确定的。
In this model, back propagation algorithm based on forward networks was conducted to learn information of historical data and to train the network weights.
以人工神经网络的前馈型网络为基础结构，基于反向传播算法进行学习和训练来拟和证券价格指数的运动趋势。
The properties of the weak Tnorm can be used to interpret intuition features of parallel propagation algorithm in the kind of uncertainty reasoning models.
在一类不确定推理模型中，可以用这类弱t -范数的性质来解释其平行传播算法所具有的直观特征。
Propagation algorithm is a heuristic based on the principle of biological evolution parallel search and optimization techniques, often used for optimization.
传算法是一种基于生物进化原理的启发式并行搜索和优化技术，常被用于优化计算。
This paper introduces a new adaptive fuzzy system with Gauss fuzzier (GAF), optimizing the parameter based on the data from PID by back-propagation algorithm.
本文提出一种带有高斯模糊器的自适应模糊系统(GAF)，基于PID控制的成功经验数据，通过反向传播学习算法对其进行参数寻优。
Based on this similarity measure, a global energy function is constructed and the final disparity map is obtained by the improved belief propagation algorithm.
在此基础上建立全局能量函数，并采用改进的置信度传播算法进行视差图的求解。
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.
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。
Disadvantages of the back propagation algorithm are discussed, and the improved methods based on dynamic learning constants and different activation functions are presented.
讨论了误差逆传播算法存在的缺陷，并针对其缺陷提出了动态调整学习因子与合理选取激发函数相结合的改进方案。
Theoretical analysis shows that near field 3-d range migration imaging technique can reduce computational complexity in much degree by contrast with back propagation algorithm.
理论分析表明：近场三维距离偏移算法与后向投影算法相比，能在较大程度上减少运算量。
This mapping relation is determined by training neural network with a back-propagation algorithm, which is utilized to estimate images at finer resolution from coarser versions.
使用反向传播算法训练神经网络，确定这种映射关系；根据该映射关系由低分辨力图像估计高分辨力图像。
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.
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 potential utility of feed forward artificial neural network using the back propagation algorithm (BP-ANN), in interpreting pyrogram data from traditional Chinese medicine was discussed.
将以误差反向传播为训练算法的前馈式人工神经网络（BP- ANN）首次用于中草药的裂解气相色谱谱图解析。
This paper gave a brief review on neural nets and neural computers, neuron models, layered network structures, error back-propagation algorithm and its application to geophysical inversion.
本文简要介绍神经网络与神经计算机，神经元模型，层状网络结构，误差逆传播算法及其在地球物理反演中的应用。
This paper gave a brief review on neural nets and neural computers, neuron models, layered network structures, error back-propagation algorithm and its application to geophysical inversion.
本文简要介绍神经网络与神经计算机，神经元模型，层状网络结构，误差逆传播算法及其在地球物理反演中的应用。
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