Based on the approximation property of fuzzy systems, a nonlinear system can be expressed as the form of linear parametric model and a modelling error term.

根据模糊系统的逼近性质，非线性系统可以表示为线性参数化模型加上一建模误差项。

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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.

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。

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Using the so-called approximation of image property by a multi-grid operator, we can derive a method of multi-resolution decomposition of the image, thus the fusion image is formed by reconstructing.

本文从连续图像出发，将二阶偏微分算子应用于影像函数，利用多重网格算子能得到近似影像的性质，得出一种多分辨影像分解的方法，经过图像重建过程得到融合影像。

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