Method:Artificial neural network based on error back propagation was used.
方法：应用人工神经网络误差反向传播模型进行含量测定。
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。
Chapter two describes the basic knowledge of ANN and BP (Error Back Propagation), and how to use in MATLAB.
第二章介绍了神经网络和BP网络的基础知识，及在MATLAB中的应用方法。
Based on error back propagation (BP) arithmetic, many improvements are put forward because of its disadvantages.
在误差反向传播(BP)算法的基础上，针对其不足提出了多种改进算法。
The new model was based on the weight adjustments of error back propagation of BP algorithm and the weight modification using particle swarm optimization (PSO).
提出一种基于粒子群算法优化BP网络的权值调整新方法。
Finally, several example simulations are made to compare our algorithms with traditional error back propagation, simple weight decay, and relative methods in other paper.
最后通过大量实例仿真将它们与纯误差驱动的方法、权退化法、其它文献中的相关方法进行了比较。
Combining wavelet analysis and neural network characteristics, the error back propagation wavelet neural network based structure and algorithm to ship roll time series prediction are given.
结合小波分析和神经网络的特点，建立了应用于船舶横摇运动时间序列预报的误差反传小波神经网络结构并给出了算法。
By means of BP (error back propagation) artificial nerve network, with data from alarm, weather and engineering documents, microwave hop performance analysis and forecast model is established.
利用神经网络的误差反向传播算法(BP算法)，结合告警、天气和工程设计几方面的数据资料建立了微波中继段告警分析预测模型。
For comparing and analyzing the influence of attenuation relationship, the attenuation relationship of earthquake intensity created by the error back propagation approach was adopted in mapping.
为了对比分析衰减关系的影响，编图中也采用了借助误差向后传播算法建立的地震烈度衰减关系。
Then the algorithm of the Tutoring positive signal propagation and error back-propagation of two processes, and in which the signal value deduction, deduction for error analysis and elaboration.
然后对本授导算法中的信号正向传播与误差反向传播两个过程，以及其中的信号值推演、误差值推演进行了分析和阐述。
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。
Introduce the Error Back-Propagation algorithm.
介绍了误差逆传播算法。
This paper provided the deduction of an algorithm for artificial neural network - the error back-propagation learning algorithm and the procedure to carry it out on computer.
提供了人工神经网络的一种算法-误差反向传播算法的数学推导方法及上机实现步骤。
The essence of back propagation networks is that make the change of weights become little by gradient descent method and finally attain the minimal error.
其实质是采用梯度下降法使权值的改变总是朝着误差变小的方向改进，最终达到最小误差。
Secondly, the hybrid training algorithm is proposed on the base of the Error Back-propagation algorithm's disadvantage analysis in the paper.
其次，从误差反传算法在预测中存在的问题入手，提出一种混合训练算法。
A neural network model with dynamical compensating capability is analyzed. During the training of this network model, we apply the principle of dynamic error back-propagation.
本文分析了一种动态补偿神经网络模型，模型的训练利用反向传播原理实现。
A one-by-one learning algorithm for multi-layer neural network modelling is presented based on the back-propagation mechanism of network error.
基于误差反向传播的机制，针对连续制造过程的预测与控制，提出多层神经网络的逐个样本学习算法。
A one-by-one learning algorithm for multi-layer neural network modelling is presented based on the back-propagation mechanism of network error.
基于误差反向传播的机制，针对连续制造过程的预测与控制，提出多层神经网络的逐个样本学习算法。
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