Objective to improve traditional BP algorithm, to build effective the pattern recognition of the activity of medicament.
目的改进传统的BP算法，建立有效的药物活性识别模式。
For the shortages of the method in which network flux is predicted by forward neural network based on traditional BP algorithm, a 2-level network flux predict-adjust model is constructed.
针对基于传统BP算法的前向神经网络预测网络流量方法的不足，构建了一种二级的网络流量预测-校正模型。
To improve the networks'classification effect and train speed, the additive momentum and self-adaptive–study-rate adjustment method are adopted further to improve traditional BP algorithm.
为了提高网络的分类效果以及训练速度，采用了附加动量法和自适应学习速率调整法对BP算法进行了改进。
Some alteration were made on structure and training algorithm for traditional serial fuzzy BP neural network.
本文对传统的串联型模糊bp网络进行了结构和训练算法上的部分改进。
Aiming at the problem of traditional PID control algorithm is difficult to get ideal control effect, an adaptive PID control algorithm based on BP neural network is proposed.
针对传统的PID控制算法很难获得比较理想的控制效果的问题，提出一种基于BP神经网络的自适应pid控制算法。
This article also provides simulation examples for modified BP algorithm and these results prove the new method is much better than the traditional methods for solving some problems.
文章提供了改进算法的仿真实例，仿真结果表明用该方法解决某些问题时，其相对于BP网络传统算法的优越性。
It is also indicated that current WNN has a poor convergence performance because of adopting the random initialization method and gradient training algorithm of traditional BP NET.
还指出由于当前的连续小波神经网络主要使用传统BP神经网络的随机初始化方法和基于梯度的训练算法，因此存在收敛性差的缺点。
A new dynamic learning algorithm is proposed to overcome the shortcoming of traditional BP net learning algorithm.
针对传统的BP网络学习算法的缺陷，研究一种动态学习算法。
Comparative experiments show neural networks based on algebraic algorithm are better than traditional BP neural networks in character recognition.
对比实验表明，在车牌字符识别方面，基于代数算法的神经网络优于传统的BP神经网络。
Simulated Annealing alternation and iterative algorithm applied in Neural Network is proposed forward in this paper, which overcomes some limitation of the traditional BP Neural Network.
提出了模拟退火的交替迭代算法的神经网络方法，克服了经典BP网络存在的一些缺陷。
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。
Due to the shortage of traditional color matching methods applied with BP neural network, an improved algorithm is put forward in this paper. The new algorithm references the outputs of hidden layer.
本文针对传统的BP网络在织物染色配色中的缺点，提出了一种参考隐层输出的改进算法，建立了一个计算精度更高、收敛速度更快的计算机配色网络模型。
Several traditional algorithms used in traffic incident detection are reviewed. A detection model based on artificial neural network is proposed and implemented with BP algorithm.
回顾几种传统的交通事件检测算法，提出从多层前向人工神经网络角度建立模型，并运用BP算法予以实现。
Several traditional algorithms used in traffic incident detection are reviewed. A detection model based on artificial neural network is proposed and implemented with BP algorithm.
回顾几种传统的交通事件检测算法，提出从多层前向人工神经网络角度建立模型，并运用BP算法予以实现。
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