分三种情况建立了工业分析、发热量和着火稳定性指标的BP神经网络模型。
This article is divided into three kinds of condition and establishes BP neural network model from proximate analysis and calorific value to ignition stability index.
通过对敏感元件的优化设计，改善了传感器的线性度、敏度、度稳定性指标。
The linearity, sensitivity and stability against temperature variation of the sensor are improved by optimizing design to the sensitive element.
规定了隔热稳定性指标，模拟产品的实际应用过程，以保证产品能够长时间的保持隔热功能。
Regulating thermal insulation stability to simulate the practical application process, to guarantee the product maintaining thermal insulation performance for a long time.
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