Comparing the predicted data to expectation, the BP network is proved an effective method for predicting unit price of BOQ.
通过比较预测值与期望值,验证BP神经网络方法可以作为预测工程量清单单价的方法。
The results show that predicted data of pavement condition index, riding quality index, structure strength index and British pendulum number is much better precision.
结果表明:路面状况指数、路面行驶质量指数、路面强度系数和路面抗滑摆值的预测数据有较高的精度。
Users can toggle the display of the prediction patterns on or off using the same widget that shows the history, whereby predicted data values are added to the chart and the table.
用户可以使用显示历史记录的同一小部件打开或关闭预测模式的显示,这样预测的数据值可添加到图表或表。
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