反演使用的模拟数据是用IEM模型得到的,并用来训练神经网络。
Simulated data sets based on the Integration Equation Model (IEM) are used to train the neural network.
实验结果表明,本文提出的水质反演模型较常规的线性回归模型和传统的神经网络模型有更高的反演精度。
The result of experiment shows that the developed model has more accuracy than the routine linear regression model and traditional neural network model.
在软件中提供了多种反演方法如基于模型反演,稀疏脉冲反演和人工智能神经网络反演。
Multi inversion methods are provided in the software, such as inversion based on models, sparse pulses inversion and artificial intelligence neural network inversion.
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