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中文摘要：
用神经网络和遗传算法（BP-GA）优化电沉积Cu-W的工艺参数。结果显示：BP-GA预测结果与试验结果较接近,相对误差为9.05%,说明BP-GA优化电沉积工艺参数有较高的预测能力和准确度。
英文摘要：
The process parameters of Cu-W electrodeposition were optimized based on BP neural network and genetic algorithm. Results showed that prediction result was approach to experimental result,and the relative error was 9.05%,which indicating that BP neural network and genetic algorithm have high forecasting accuracy and was suitable for electrodeposition parameters prediction.
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