high speed learning algorithm 快速学习算法
high learning convergence speed 训练速度快
high speed learning 快速学习
RBF neural network provides an effective means for system identification and modeling with its advantages of smaller calculation quantity and high learning speed.
R BF神经网络以其计算量小,学习速度快,不易陷入局部极小等诸多优点为系统辨识与建模提供了一种有效的手段。
The result shows that RBF networks has very high learning convergence speed and better classifying performance. RBF networks has good practicality in the field of equipment fault diagnosis.
应用结果表明,RBF网络训练速度快、分类性能良好,在设备故障诊断领域具有很好的实用性。
As a result, the method is faster in learning speed, high in accuracy and robust in noise resistance, it is more suitable for sensor's correction and temperature compensation.
因此,该学习速度快、补偿精度高、抗噪声干扰能力强,适合传感器温度补偿及校正。
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