| 1. | Bp network train sample mode analyse the income by finite element model
Bp网络训练样本由有限元模型模态分析所得。 |
| 2. | The formative training sample data are used to train the ann model
形成了预警系统的训练样本，对神经网络进行训练。 |
| 3. | Purified algorithm for training samples based on automatic searching and spectral matching technique
此算法建立在马尔可夫随机场 |
| 4. | Studies on the purification of training samples in supervised classification by mode filtering
利用众数滤波对监督分类训练样本纯化的研究 |
| 5. | At first , wpls abstracted the principal components of training samples , and then it trained the wei . .
该算法保留了pls能有效地提取对系统解释性. . |
| 6. | Using matlab software as a research platform , training samples were obtained with monte carlo method
一部分是假设hpge探测效率在二维空间分布是均匀的。 |
| 7. | Through frequent testing on the temperature of the objects , the training sample assemblies are obtained
通过对场景中物体的表观温度进行多次测量，得到训练样本集合。 |
| 8. | In order to acquire the training sample , 12 impress modulus must be induced from 9 actual elastic parameters
要想获得训练样本，就要由实际的九个弹性参数反推门个压痕模量。 |
| 9. | Useful training samples result fro m the experiment and the calculation for the emulational faults via supersap software
对悬臂梁的故障用supersap软件进行了仿真数值计算，获得训练样本。 |
| 10. | Second , the outputs " quality of the nn system is greatly depended on the data sent to the network as the training samples
众所周知，神经网络模型的输出质量在很大程度上依赖于作为训练样本的数据的质量。 |
