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。
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。
This paper constructs a new practical distance learning system that is low cost and high speed by the means of satellite LOG combining with ground connection well.
该文从实际出发,通过卫星通信线路和地上线路的有机结合,构筑了低成本、高速率的基于卫星的远程教学系统,并在其上进行了模拟教学实验。
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