| 1. | Application of neural networks for direct torque control
基于对角回归神经网络的电动加载系统 |
| 2. | A neural network model for complex system prediction control
基于多层局部回归神经网络的多变量非线性系统预测控制 |
| 3. | An algorithm for radar emitter recognition based on internally recurrent net
基于回归神经网络的雷达辐射源识别算法 |
| 4. | 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 |
| 5. | The solution is realized by generalized regression neural network , and is proved by experiment
利用广义回归神经网络来实现,并做了相关实验。 |
| 6. | Identification and bimodal speed control of ultrasonic motors using input - output recurrent neural networks
基于输入输出回归神经网络的超声马达辨识和速度控制 |
| 7. | The results showed that the prediction accuracy is satisfied , even though there are a few data in trainit1g sets
结果表明，在训练集样本数据较少时，广义回归神经网络的预测准确度仍然很高。 |
| 8. | ( 5 ) it studies the neural network forecasting model and its improved methods , which is based on the regression analysis , and also applies it for logistics system forecast
( 5 )对基于回归分析的神经网络预测模型及其改进的方法进行了研究，提出了物流系统的回归神经网络的预测思路和方法。 |
| 9. | The correlation model between main chemical compositions and sensory qualities of flue - cured tobaccos was constructed by generalized regression neural network ( grnn )
摘要采用广义回归神经网络分别对烤烟的主要化学成分与香气质、香气量、杂气、刺激、馀味、劲头和烟气浓度等感官质量进行建模。 |
| 10. | This paper presented a kind of nn modeling method named generalized regression neural network ( grnn ) , through which the physical , mechanical properties of chinese fir could be obtained from its internal structure parameters
摘要给出由木材内部结构参数确定其物理力学特徵的神经网络设计与实现的方法广义回归神经网络( grnn )模型。 |
