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- Modified BP NN algorithm 改进BP算法
- NNM can use many learning algorithm .In this paper , it use the modified BP algorithm which proposed by the author . NNM可以采用许多学习算法,前已提及本文中采用作者提出的改进BP算法。
- It also compares the application effect of the pure BP numeration and SDMM that is based on GA and BP NN. 比较了纯BP算法与基于遗传算法和BP神经网络的二恶英软测量模型的应用效果；
- For such "black box" problem, BP NN has the superiority to solve it.The model can be established through self-learning. BP神经网络对于解决这类“黑箱”问题优势明显，可通过自我学习训练建立模型。
- The rate of discrimination to three kinds of hybrid riceseeds are 96%, 82% and 95% respectively by using BP NN. 利用BP神经网络对三种类型杂交水稻种子进行识别，识别率分别为96%25、82%25、95%25。
- Finally, we used weighted summation of out-up of every BP NN to get the final result. 最后，每个BP神经网络的输出通过加权求和的组合方式得到最终识别结果。
- The coal gas flow measuring method applies the BP NN technology into measuring the goal gas flow, thus solving the nondeterminacy problem of flow complementing. 本发明将神经网络技术应用于煤气流量计量中，解决了流量补偿不确定性问题。
- Abstract: With the NN technology ,the study poses a new calibration method for Watthour meter.The mature trained BP NN,which substitues for the standard meter checkout way. 摘 要: 本文运用了神经网络技术，用训练成熟的多层前向BP神经网络取代了电能表校验的标准表。
- A new method for deformation prediction (GMDH NN) is put forward including short-term and long-term prediction in deformation prediction.The prediction is compared with BP NN. 摘要采用一种新的变形预测方法，即将GMDH神经网络预测方法运用到变形预测中进行短期以及长期预测，并且将预测得到的结果与采用BP神经网络预测得到的结果进行比较。
- At the same time, for the position differences of characters on the plate we constructed and trained four different subnets to recognize characters in every BP NN. 并根据字符在机动车号牌中所处位置的差异，在每个BP神经网络中构造4种不同的子网络分别进行训练和识别。
- The diagnosis results show that the method can reach higher diagnosis veracity compared with that by the approach of backward propagation neural network (BP NN). 诊断结果表明与常用的BP神经网络相比可以获得较高的诊断精度。
- Experiments results show that the modified BP arithmetic not only has shorted study time, high efficiency, but also meet with the error goal, improve the generalization capability. 基于网络算法的改进主要包括基于标准数值优化的改进方法和基于标准梯度下降的改进方法。
- The authors put forward an inversion model about water quality based on neural network (NN) in combination with ASTER data, which was a two-layer BP NN model containing a connotative one. 摘要提出了一种基于神经网络和遥感图像相结合的水质反演模型，构建了含有一个隐含层的两层BP神经网络反演模型。
- Potato late blight prediction system based on BP NN 基于BP神经网络预测的马铃薯晚疫病预测系统
- Over-fitting of BP NN research and its application BP网络过拟合问题研究及应用
- Fault diagnosis of rotor in fan based on BP NN 基于BP神经网络的风机转子故障诊断
- APPLICATION OF A MODIFIED BP ALGORITHM OF NEURAL NETWORKS IN MISSILE-TESTING EXPERT SYSTEM 一种改进的BP算法在导弹综合测试专家系统中的应用
- Speaker-independent speech recognition based on a fast NN algorithm 基于快速神经网络算法的非特定人语音识别
- Graphic Symbol Recognition based on Modified BP Network 基于改进的BP网的图形符号识别
- The Model of Credit Risk Measurement based on GA and BP NN 基于遗传算法和BP神经网络的信用风险测量模型
