Based on expatiated the basic structure model and some general improved algorithms of BP neural network, this paper brings forward a new self-organization learning algorithm.
介绍了BP网络的基本结构模型与常见改进算法，在此基础上提出了一种新型的结构自组织BP网络算法。
Finally, the experiment results compared with the BP neural network algorithm and polynomial matching algorithm show that the new model improves color conversion accuracy effectively.
最后，本算法与BP神经网络和多项式拟合算法比较，色彩转换精度有明显提高。
This paper describes a new method for rotor fault diagnosis of electric machinery drag system, artificial neural network, which is based on BP algorithm.
介绍了一种基于BP算法的神经网络在电机转子常见故障诊断中的应用。
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。
This paper proposes a new global optimization technique in which combines the filled function method and BP algorithm for Training feedforward neural networks.
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。
To synthesize the advantages of standard BP algorithm and "batch learning" BP algorithm, a new algorithm is put forword.
综合了标准BP算法与“批处理”BP算法的各自特点，提出了一种新的BP网络的学习算法。
The new algorithm, compared to the BP algorithm, has the fast learning rate and good convergence properties.
该算法有效地改进了神经元网络的学习收敛速度，取得了比常规BP算法更好的收敛性能和学习速度。
It is proved that the new network activation function and the improved BP training algorithm practically applying to the requirement of process control.
新的网络激励函数和训练算法切实满足过程控制的需要。
The way double polarity s function and LM algorithm combine with BP neural network is analyzed in the paper. The steps of new algorithm were given.
分析了双极性S型函数及LM算法与BP神经网络具体结合实现的方法，并给出了算法步骤。
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。
The paper comprehensively USES the superiority of fuzzy pattern recognition over rejecting noise information and BP neural network on simulation to design a new algorithm named fuzzy neural network.
文章在综合利用模糊模式识别剔除噪音信息和BP神经网络拟合优势的基础上，设计了模糊神经网络新算法。
The algorithm of the BP network technique is improved appropriately. Several new improving methods are developed and lead to good results.
对BP神经网络算法进行了适当的改进，并提出了几种新的改进方法，得到了良好的效果。
This paper proposes a method to build up a model of a Marine main engine based on BP neural network. A new method of selecting leaning rate is also stated using dynamic optimal algorithm.
该文研究用BP神经网络建立船舶主柴油机模型的方法，并对BP算法进行了改进，提出了一种动态优化学习率的方法。
How to apply CBR method to establishing plate rolling regulations was described, and a new method using BP nerve net algorithm to predict rolling pressure and to regulate case was put forward.
笔者论述了如何将此方法应用于中厚板轧制过程的规程制定，并提出了一种将BP神经网络算法用于预报轧制力，进行范例调整的方法。
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。
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。
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。
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