After discussing the standard BP algorithm and its flaw, the paper presents a modified BP algorithm.
在对BP网络基本算法及其存在问题讨论的基础上，提出了一种改进的BP算法。
The performance of standard BP algorithm and other ameliorated BP algorithm has been compared in experiments.
在实验中对标准BP算法和几种改进后的bp算法的性能做了比较。
BP neural network has been widely used in many fields. But the convergent speed of standard BP algorithm is too slow.
BP神经网络已广泛应用于许多领域，但标准BP算法收敛速度很慢。
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。
At last, a kind of BP algorithm with adaptive learning rate is evaluated and compared with standard BP algorithm by XOR problem.
最后结合XOR问题把一种自适应学习率BP算法和标准BP算法进行了比较和评价。
An example of the algorithm's application in electric power system load forecasting is shown and compared with standard BP algorithm.
文中给出了这种算法在电力系统负荷预测中的实际应用，并与标准BP算法作了比较。
Finally, the MBP algorithm is compared with the standard BP algorithm. The results shown that the learning speed of MBP algorithm is increased greatly.
最后将标准BP算法和MBP算法进行了比较，仿其结果表明：MBP算法的学习次数和收敛速度得到极大改善。
The simulation result indicates that the algorithm has much faster learning speed and more superior learning precision compared with the standard BP algorithm.
仿真结果表明：该算法比传统的BP算法具有更快的学习速度和更高的学习精度。
The simulation result shows that the algorithm has much faster learning speed compared with the standard BP algorithm. It is entirely practicable in diesel fault diagnosis system.
仿真结果表明，该算法比标准BP算法具有更快的学习速度，完全适用于柴油机故障诊断系统。
To eliminate the shortcoming of standard backpropagation algorithm, some modified BP algorithms in the MATLAB's neural networks toolbox are given in the paper.
针对标准BP算法存在的缺陷，本文给出了基于MATLAB语言的BP神经网络几种改进的算法。
Based on the idea of standard back-propagation (BP) learning algorithm, an improved BP learning algorithm is presented.
在标准反向传播神经网络算法的基础上，提出了一种改进的反向传播神经网络算法。
Compared to the standard BP, this algorithm integrated the additional momentum method with the adaptive learning rate method.
与标准BP算法比较，该系统通过结合附加动量法和自适应学习速率形成新的BP改进算法。
The algorithm is applied to XOR problem and nonlinear function approximation. Simulation results show that the chaos-BP algorithm needs shorter learning time than that of the standard BP and fast BP.
采用混合算法对XOR问题和非线性函数进行仿真，结果表明该算法明显优于标准BP算法和快速BP算法。
Next, an Improved Back Propagation(IBP)algorithm is proposed, considering the drawbacks of the standard Back Propagation (BP) in the neural network theory.
接着，作者对神经网络理论中的标准反向传播算法BP作了改进并提出了IBP算法。
Next, an Improved Back Propagation(IBP)algorithm is proposed, considering the drawbacks of the standard Back Propagation (BP) in the neural network theory.
接着，作者对神经网络理论中的标准反向传播算法BP作了改进并提出了IBP算法。
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