The wavelet neural network model to forecast and control equipment development expense is established on the basis of theory and method of wavelet together with its transform.

通过小波及小波变换的原理和方法，建立了适用于武器装备研制费用的小波神经网络预测与控制模型。

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Meanwhile, the result show that model precision can meet needs of light draft technique process control based on the equipment and spray state in good condition.

结果表明，在设备与喷淋状态保证的前提下，模型精度可以满足轻压下工艺过程控制的要求。

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When the model is applied to computer control system, the liquid height in the mold is controlled stably and accurately in micro-type electromagnetic casting equipment.

将该控制模型应用于计算机控制系统，在小型电磁铸造设备上可以精确、稳定的控制结晶器内液位。

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