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对综放工作面产量和工效的影响因素进行分析,收集了大量国内综放工作面生产能力实例统计样本,由此构造出综放工作面产量和工效预测神经网络。预测结果表明,该模型先进、简便和可靠。
The influencing factors on the output and work efficiency of fully mechanized caving face are analyzed, and a large number of statistical samples of domestic production capacity are collected, and then the output and efficiency prediction neural network of caving face is constructed. The forecast results show that the model is advanced, simple and reliable.