...经网络； 非线性逼近； 温度误差； 补偿 [gap=1302]Key words: fluxgate magnetometers; BP neural Network; nonlinear approach; temperature error; compensation ...
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非线性逼近在许多方面有着广泛的应用。
The nonlinear approximation is applied widely to many fields.
神经网络的非线性逼近能力的研究是神经网络成为辨识模型的理论基础。
The theory of identification model based on neural networks(NN)is to research into its capability of nonlinear approximation.
本文主要基于神经网络的非线性逼近性质建立预测模型，来研究我国火灾损失的预测问题。
In this thesis, the prediction model of fire cost is built mainly based on the nonlinear approximation property of neural networks, which can be used to investigate our country's fire cost.
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