在非线性算法方面，把神经网络模型引入到g。

For the nonlinear algorithm, we introduce BP neural network into the g.

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通过引入核函数，支持向量机可以很容易地实现非线性算法。

SVM can deal with nonlinear problems in classification and Regression easily by using kernel functions.

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最后实现了一些常用线性和非线性算法，与数学形态学算法一起形成一个适用于水声图象处理和分析的软件。

Finally, we constructed a software which included some linear and nonlinear algorithms along with the mathematical morphology for the preprocessing and analyzing in underwater acoustic images.

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