| 1. | Meshless weighted least - square method
加权最小二乘无网格法 |
| 2. | Forecasting water yield of mine with the partial least - square method and neural network
偏最小二乘回归神经网络的矿坑涌水量预测 |
| 3. | Least - square method
最小二乘法 |
| 4. | To date only discrete points are obtained , but not the surface of the scene . hence a least - square method is used to fit terrain surface
对整幅图来说,完成点的重建后得到的仅仅是图像上的一些离散点。 |
| 5. | When the data is not in normal or logarithmic normal distribution , the least - squared method is not applicable to obtaining the sensitive index
若试验数据为非正态或非对数正态分布，最小二乘法求优会受到限制。 |
| 6. | Having obtained an initial position with a least - square method , a more precise result can be worked out from information contained in the bearing measurements
在利用最小二乘法获得定位初值后，根据每次角度测量的信息进行目标位置估计。 |
| 7. | Comparison of the estimator from the least - squares method with the robust method shows that the estimator from the robust estimator is more reliable
通过比较，对于各测线上所有采样点的系统误差补偿来说，系统误差模型的抗差估计比最小二乘估计的可靠性更高。 |
| 8. | This paper elaborates on principles and calculation methods of experiment of prestress tube frictional resistance and also makes data procession of the experimental results by using least - square method
摘要详细阐述了预应力束管道摩阻试验的原理及计算方法，采用最小二乘法对试验结果进行数据处理。 |
| 9. | In this paper , we used weighted neural network and least - square method for filling out the missed data , and compared the result obtained respectively with that of the neural network and the least - square method
运用神经网络和最小二乘法加权的方法对缺损数据进行填充，并分别与最小二乘法和神经网络的处理结果进行比较。 |
| 10. | Structure risk minimization based weighted partial least - squared method weighted partial least - squared wpls method was proposed to achieve structure risk minimization in the partial least - squares modeling process
为了在偏最小二乘法pls建模过程中实现结构风险最小化srm ，提出基于结构风险最小化的加权偏最小二乘法wpls 。 |
