有序网络学习速度快，所需神经元数目少。

Order networks learn faster, and with fewer neurons.

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实验结果表明：算法优化后的神经网络分类器不但学习速度快，还能保证分类精度。

Experiment shows neural network classifier that is optimized by algorithm could not only have fast learning speed but also ensure accuracy of classification.

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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。

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.

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