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- 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。
- improved BP NN 改进BP网络
- 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。
- Research on main parameters modification of Duncan-Chang model based on the improved BP network. 基于改进的BP网络对邓肯张模型主要参数修正研究。
- The test results show that the NN model is practicable. 测试结果证明了模型的可行性。
- Through applying an improved BP(back propagation) algorithm to city consume,a BP model is built. 针对城市消费预测问题;应用一种改进的BP算法;建立了相应的BP网络模型;并设计了基于BP神经网络的城市消费预测系统.
- The typical BP algorithm and improved BP algorithm are applied to the fault diagnosis of Tennessee Eastman(TE) model. 并分别将典型的BP算法和改进后的BP算法用于TE(Tennessee Eastman)模型的故障诊断中。
- This paper presents a fault diagnosis method that an improved BP neutral network model is applied to CNC machine. 提出了一种改进的BP神经网络模型应用于数控机床的故障诊断方法。
- 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;
- 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。
- The NN model for the molar diamagnetic susceptibilities appears more reliable than the MLR model. 而人工神经网络模型对摩尔反磁磁化率的预测结果比多元线性模型似乎更精确。
- 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。
- The experiment results showed that the NN model was perfect in recognizing transpositional images. 实验结果表明:所建立的网络模型具有较好的性能。
- 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。
- Than we study the major decoding algorithms, BF, WBF, LP-WBF, BP and two other improved BP algorithms. 本文介绍了BF、WBF、LP-WBF、BP、BP_based和Normalized BP_based算法,详细的推导了BP译码的各个步骤。
- 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。
- This paper combines ILC with neural network to put forward ILC intelligent control method based on NN model identification. 本文将迭代控制与神经网络相结合,提出一种基于神经网络模型辨识的迭代学习智能控制方法。